Sr. Software Backend Engineer – Java & Kotlin – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 20 Mar 2025 06:14:18 GMT

Job description: Job Title: Senior Software Engineer – Java/KotlinLocation: Toronto, CanadaJob Description:As a Senior Engineer at Capgemini, you will build distributed data processing solutions and highly loaded database solutions for various cases, including reporting, product analytics, marketing optimization, and financial reporting. You will contribute as part of a self-organized team of expert data engineers working in an exciting, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Key Responsibilities:

  • Obtain tasks from the project lead or Team Lead (TL), prepare functional and design specifications, and approve them with all team members.
  • Ensure that assigned areas are delivered within set deadlines and required quality objectives.
  • Provide estimations, agree on task duration with the manager, and contribute to the project plan of the assigned area.
  • Analyze the scope of alternative solutions and make decisions about area implementation based on experience and technical expertise.
  • Lead functional design of assigned areas, ensuring design decisions meet architectural and design requirements.
  • Address area-level risks, provide and implement mitigation plans.
  • Resolve crisis & report on area readiness/quality and raise red flags in crisis situations beyond their area of responsibility.
  • Initiate and conduct code reviews, create code standards, conventions, and guidelines.
  • Suggest technical and functional improvements to contribute to the product.
  • Constantly improve professional level.
  • Collaborate with other teams, promoting a culture of inclusion and respect.

Required Skills:

  • B.S. or equivalent experience, M.S., or PhD in Computer Science.
  • 5+ years of proven experience with Java/Kotlin as backend engineer.
  • Ability to analyze and improve efficiency, scalability, and stability of various system resources.
  • Experience with service-oriented architecture, writing REST API’s, unit testing, and architectural design.
  • Understanding of modern web stacks and architecture (HTTP, REST).
  • Experience with SQL and NoSQL databases and other technologies (e.g., Postgres, Redis, Elasticsearch, RabbitMQ).
  • Experience building large-scale, real-time applications.
  • Contributor to open-source projects.

Good to Have:

  • Proficiency in the Android ecosystem (Android SDK, frameworks, APIs).
  • Familiarity with modern Android development practices.

Diversity and Inclusion:Capgemini is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applications from all backgrounds and communities, and we are committed to having a team that is made up of diverse skills, experiences, and abilities.#LI – JE1Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini EngineeringWorld leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.Get the Future You Want | www.capgemini.comDisclaimer[MMH1]Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini in Toronto, Canada is looking for a Senior Software Engineer with experience in Java/Kotlin to build distributed data processing and database solutions for various applications. The role involves contributing to a self-organized team, leading design decisions, providing estimates, and ensuring area delivery within set deadlines. Required skills include a degree in Computer Science, 5+ years of Java/Kotlin experience, and knowledge of service-oriented architecture, REST APIs, and SQL/NoSQL databases. Experience with real-time applications and open-source projects is a plus. Capgemini values diversity and inclusion, offering a range of benefits and programs to support employee well-being. The company is a global leader in engineering and R&D services, with a focus on digital and software technologies. Applicants for this position must have valid work authorization in the US.

Sr. Software Backend Engineer- Kotlin -Java – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 20 Mar 2025 03:07:18 GMT

Job description: Job Title: Senior Software Engineer – Java/KotlinLocation: Toronto, CanadaJob Description:As a Senior Engineer at Capgemini, you will build distributed data processing solutions and highly loaded database solutions for various cases, including reporting, product analytics, marketing optimization, and financial reporting. You will contribute as part of a self-organized team of expert data engineers working in an exciting, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Key Responsibilities:

  • Obtain tasks from the project lead or Team Lead (TL), prepare functional and design specifications, and approve them with all team members.
  • Ensure that assigned areas are delivered within set deadlines and required quality objectives.
  • Provide estimations, agree on task duration with the manager, and contribute to the project plan of the assigned area.
  • Analyze the scope of alternative solutions and make decisions about area implementation based on experience and technical expertise.
  • Lead functional design of assigned areas, ensuring design decisions meet architectural and design requirements.
  • Address area-level risks, provide and implement mitigation plans.
  • Resolve crisis & report on area readiness/quality and raise red flags in crisis situations beyond their area of responsibility.
  • Initiate and conduct code reviews, create code standards, conventions, and guidelines.
  • Suggest technical and functional improvements to contribute to the product.
  • Constantly improve professional level.
  • Collaborate with other teams, promoting a culture of inclusion and respect.

Required Skills:

  • B.S. or equivalent experience, M.S., or PhD in Computer Science.
  • 5+ years of proven experience with Java/Kotlin as backend engineer.
  • Ability to analyze and improve efficiency, scalability, and stability of various system resources.
  • Experience with service-oriented architecture, writing REST API’s, unit testing, and architectural design.
  • Understanding of modern web stacks and architecture (HTTP, REST).
  • Experience with SQL and NoSQL databases and other technologies (e.g., Postgres, Redis, Elasticsearch, RabbitMQ).
  • Experience building large-scale, real-time applications.
  • Contributor to open-source projects.

Good to Have:

  • Proficiency in the Android ecosystem (Android SDK, frameworks, APIs).
  • Familiarity with modern Android development practices.

Diversity and Inclusion:Capgemini is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applications from all backgrounds and communities, and we are committed to having a team that is made up of diverse skills, experiences, and abilities.#LI – JE1Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:Flexible workHealthcare including dental, vision, mental health, and well-being programsFinancial well-being programs such as 401(k) and Employee Share Ownership PlanPaid time off and paid holidaysPaid parental leaveFamily building benefits like adoption assistance, surrogacy, and cryopreservationSocial well-being benefits like subsidized back-up child/elder care and tutoringMentoring, coaching and learning programsEmployee Resource GroupsDisaster ReliefAbout Capgemini EngineeringWorld leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.Get the Future You Want | www.capgemini.comDisclaimer[MMH1]Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini is seeking a Senior Software Engineer in Toronto, Canada with 5+ years of experience in Java/Kotlin. The successful candidate will work on distributed data processing and highly loaded database solutions for various cases including reporting, analytics, and marketing optimization. Responsibilities include providing estimations, leading design, conducting code reviews, and promoting technical and functional improvements. The ideal candidate will have a background in Computer Science, experience with service-oriented architecture, REST API’s, SQL and NoSQL databases, and large-scale, real-time applications. Proficiency in the Android ecosystem is a plus. Capgemini promotes diversity and offers a range of benefits for its employees. The company is a global leader in engineering and R&D services, with a focus on digital and software technologies.

Backend Software Engineer – Kotlin – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 27 Mar 2025 08:04:34 GMT

Job description: About the job you’re consideringName of the position: Senior Software Engineer( (Kotlin)
Reports to: Team Lead/Delivery Manager
Department/Project: EngineeringPURPOSE OF THE JOB
As a Senior Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Must have:

  • University degree in Computer Related Sciences or similar
  • 5+ years of development experience as software engineer using Kotlin
  • Experience in API design, development & Integration and build high-reliability applications.
  • Must have experience working with webhooks/OpenAPI.
  • Must have experience in developing back-end components using Kotlin, ensuring high scalability and performance.
  • Expert in Database fundamentals, SQL and distributed computing.
  • Proficiency with CI/CD, and specifically with DevOps build and release pipelines.
  • Excellent communication skills and experience working with technical and non-technical teams

Your role

  • Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications.
  • Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
  • Responsible for resolving crisis situations within his/her AOR.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggests technical and functional improvements to add value to the product;
  • Constantly improves his/her professional level.
  • Collaborates with multiple teams, Product,UI & Engineering.
  • Develop back-end components using Kotlin, ensuring high scalability and performance.
  • Deep understanding of Kotlin syntax, features, and idiomatic use of the language. Familiarity with advanced features like coroutines for asynchronous programming, and extension functions.
  • Debug Kotlin code, write unit tests to ensure quality, and diagnose bugs.

Your skills and experience

  • University degree in Computer Related Sciences or similar
  • 5+ years of development experience as software engineer using Kotlin
  • Experience in API design, development & Integration and build high-reliability applications.
  • Must have experience working with webhooks/OpenAPI.
  • Must have experience in developing back-end components using Kotlin, ensuring high scalability and performance.
  • Expert in Database fundamentals, SQL and distributed computing.
  • Proficiency with CI/CD, and specifically with DevOps build and release pipelines.
  • Excellent communication skills and experience working with technical and non-technical teams

Nice to have:

  • Experience with Amazon AWS cloud services (EC2, S3, RDS, etc) is preferred.
  • Experience with stream-processing systems: Kafka, Spark-Streaming, Apache Flink, etc.

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you want |DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

This job is for a Senior Software Engineer with experience in Kotlin. The role involves building distributed data processing and database solutions, providing guidance to a development team, and working on technical challenges. The ideal candidate will have a university degree in Computer Related Sciences, 5+ years of experience with Kotlin, proficiency in API design, and strong communication skills. Additional experience with AWS cloud services, stream-processing systems, and CI/CD is preferred. Capgemini offers various benefits, and the company is focused on diversity and equal opportunity employment.

Data & AI Engineer – ML Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 27 Mar 2025 01:28:52 GMT

Job description: Job Title: Data & AI Engineer – ML EngineerJob Location: All over Canada and USAJob Description:The ML Engineer will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. The candidate will be contributing as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Job Responsibilities:

  • The candidate is responsible for obtaining tasks from the project lead or Team Lead for preparing functional and design specifications and getting them approved with all stakeholders.
  • Ensuring that assigned area/areas are delivered within set deadlines and required quality objectives.
  • Providing estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analysing scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
  • Leading functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addressing area-level risks, provides and implements mitigation plan.
  • Reporting about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
  • Responsible for resolving crisis situations within his/her AOR.
  • Initiating and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggesting technical and functional improvements to add value to the product;

Required Skills:

  • We are looking for 1+ years of industry experience post PhD or 3+ years of industry experience along with post graduate degree of developing machine learning models with business impact.
  • Experienced with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python; experienced with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you want |DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

The job is for a Data & AI Engineer focusing on Machine Learning based in Canada and the USA. The role involves building data processing and database solutions for various business cases, working in a team of experienced data engineers. The responsibilities include project management, design, risk mitigation, and code reviews. The required skills include experience with machine learning, Python, PyTorch, TensorFlow, and NLP. Nice to have skills include experience with real-time applications and contributions to open-source projects. Capgemini offers benefits such as flexible work, healthcare, parental leave, and employee well-being programs. The company is a global technology partner with a focus on digital transformation and sustainability.

Data & AI Engineer – Data Science Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 27 Mar 2025 02:30:22 GMT

Job description: About the job you’re consideringAs a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various reasons including reporting, product analytics, marketing optimization and financial reporting. Supply as part of self-organized team of experienced data engineers working in an exciting, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Your role

  • Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all collaborators.
  • Ensures that assigned area/areas are delivered within set deadlines and required quality objectives!
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area!
  • Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
  • Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
  • Responsible for resolving crisis situations within their AOR.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggests technical and functional improvements to contribute to the product;
  • Constantly improves their professional level.
  • Collaborates with other teams.

Your skills and experience

  • We are looking candidates with degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
  • We are looking candidates with 2+ years of experience in data analytics, consulting, or related role
  • Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
  • Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
  • Experience in Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.
  • Outstanding analytical and problem-solving skills.
  • Always eager to learn and improve.
  • Strong interpersonal and writing skills.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being program.
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About Capgemini EngineeringWorld leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you wantDisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

The job being considered is that of a Data Science Engineer, responsible for building distributed data processing solutions and highly loaded database solutions for reporting, analytics, optimization, and financial reporting purposes. The role involves working in a self-organized team of experienced data engineers, investigating, creating, and implementing solutions for technical challenges, providing guidance to a development team, and contributing to project goals. The ideal candidate should have a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain, along with 2+ years of experience in data analytics. Proficiency in SQL, ETL, A/B Testing, statistical analysis, and analytics tools is required, as well as strong analytical, problem-solving, and interpersonal skills. Experience with real-time applications and open-source projects is a plus. Capgemini offers a supportive work environment with various benefits for employees.

ML Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Wed, 26 Mar 2025 23:51:54 GMT

Job description: Job Title: Data & AI Engineer – ML EngineerJob Location: All over Canada and USAJob Description:The ML Engineer will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. The candidate will be contributing as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Job Responsibilities:

  • The candidate is responsible for obtaining tasks from the project lead or Team Lead for preparing functional and design specifications and getting them approved with all stakeholders.
  • Ensuring that assigned area/areas are delivered within set deadlines and required quality objectives.
  • Providing estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analysing scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
  • Leading functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addressing area-level risks, provides and implements mitigation plan.
  • Reporting about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
  • Responsible for resolving crisis situations within his/her AOR.
  • Initiating and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggesting technical and functional improvements to add value to the product;

Required Skills:

  • We are looking for 1+ years of industry experience post PhD or 3+ years of industry experience along with post graduate degree of developing machine learning models with business impact.
  • Experienced with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python; experienced with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you want |DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Job Title: Data & AI Engineer – ML Engineer
Job Location: All over Canada and USA

Job Description: The ML Engineer will build distributed data processing solutions and highly loaded database solutions for various business cases including reporting, product analytics, marketing optimization, and financial reporting. The candidate will be part of a team of experienced data engineers creating the foundation for decision-making at a company dealing with billions of events per day.

Job Responsibilities: The candidate will be responsible for obtaining tasks, delivering within deadlines, providing estimations, leading design, addressing risks, and contributing to code reviews.

Required Skills: 1+ years of industry experience post PhD or 3+ years of industry experience with a postgraduate degree, experience with machine learning methods, Python, PyTorch, TensorFlow, and Natural Language Processing.

Nice to Have: Experience building large-scale, real-time applications, contributing to open-source projects, and advanced degrees in quantitative fields.

Benefits: Capgemini offers flexible work, healthcare, financial well-being programs, paid time off, paid parental leave, mentoring and learning programs, and employee resource groups.

About Capgemini: Capgemini is a global business and technology transformation partner with over 340,000 team members in more than 50 countries. They deliver services and solutions leveraging technology to address business needs.

Disclaimer: Capgemini is an Equal Opportunity Employer and provides accommodations for individuals with disabilities during the recruitment process. Applicants for employment in the US must have valid work authorization.

Data & AI Engineer – ML Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Thu, 27 Mar 2025 07:36:13 GMT

Job description: Job Title: Data & AI Engineer – ML EngineerJob Location: All over Canada and USAJob Description:The ML Engineer will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. The candidate will be contributing as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.Job Responsibilities:

  • The candidate is responsible for obtaining tasks from the project lead or Team Lead for preparing functional and design specifications and getting them approved with all stakeholders.
  • Ensuring that assigned area/areas are delivered within set deadlines and required quality objectives.
  • Providing estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analysing scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
  • Leading functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addressing area-level risks, provides and implements mitigation plan.
  • Reporting about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
  • Responsible for resolving crisis situations within his/her AOR.
  • Initiating and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggesting technical and functional improvements to add value to the product;

Required Skills:

  • We are looking for 1+ years of industry experience post PhD or 3+ years of industry experience along with post graduate degree of developing machine learning models with business impact.
  • Experienced with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python; experienced with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.
  • M.S., or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you want |DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini is seeking a Data & AI Engineer/ML Engineer with experience in developing machine learning models for various business cases. The candidate will work in a challenging, innovative environment to build distributed data processing and database solutions. Responsibilities include leading the design of assigned areas, conducting code reviews, and suggesting technical improvements. Required skills include experience with machine learning methods, Python, PyTorch, TensorFlow, NLP, and graph-based models. Nice to have experience includes building large-scale, real-time applications and contributing to open-source projects. Capgemini offers flexible work options, healthcare benefits, financial programs, paid time off, parental leave, and other social well-being benefits. Candidates must have valid work authorization in the US.

ML Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Tue, 25 Mar 2025 23:59:07 GMT

Job description: Job Location: Canada/USAAbout the job you’re consideringAs a ML Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Investigate, create, and implement the solutions for existing technical challenges. Provides mentorship, instruction, direction, leadership to a development team with the purpose of achieving project goals.Your role

  • Receives tasks from the project lead or Team Lead (TL), crafts functional and design specifications, gets approval from all collaborators.
  • Ensures that assigned area/areas are delivered within the defined timelines and required quality objectives.
  • Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
  • Analyzes scope of alternative solutions and makes decision about area implementation based on their experience and technical expertise.
  • Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Reports about area readiness/quality, and raises red flags in crisis situations which are beyond their AOR.
  • Responsible for resolving crisis situations within their AOR and constantly improve their professional level.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.
  • Suggests technical and functional improvements to make valuable contributions to the product.

Your skills and experience

  • Experience with machine learning methods in building product knowledge graphs.
  • Machine learning background in Python. Experience with PyTorch, TensorFlow, or similar frameworks and familiarity with Natural Language Processing (LLM, Entity Recognition, Entity Resolution, Classification), and Graph-based Models.
  • Seeking to create meaningful change through a collaborative and impactful strategy.

Nice to have

  • M.S. or PhD. with equivalent experience in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative fields.
  • Experience building large scale, real-time applications.
  • Contributor to open-source projects!

Life at CapgeminiCapgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Collaborating with teams of creative, fun, and driven colleagues
  • Flexible work options enabling time and location-based flexibility
  • Company-provided home office equipment
  • Virtual collaboration and productivity tools to enable hybrid teams
  • Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
  • Other perks and wellness benefits like discount programs, and gym/studio access.
  • Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
  • Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring
  • Tuition assistance and weekly hot skill development opportunities
  • Experiential, high-impact learning series events

About CapgeminiCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.Get the future you want |DisclaimerCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Click the following link for more information on your rights as an ApplicantApplicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.

The job is for a Machine Learning Engineer who will build distributed data processing and database solutions for various business cases. They will work in a team environment, investigate and implement technical solutions, provide mentorship, and contribute to project goals. The ideal candidate will have experience with machine learning methods, Python, PyTorch, TensorFlow, and Natural Language Processing. Nice to haves include a degree in a quantitative field, experience with real-time applications, and contributing to open-source projects. Capgemini offers a comprehensive benefits program and supports employee well-being, providing opportunities for growth and development.

Data & AI Engineer – Data Science Engineer – Capgemini – Toronto, ON

Company: Capgemini

Location: Toronto, ON

Expected salary:

Job date: Wed, 26 Mar 2025 06:18:23 GMT

Job description: Job Location: CanadaAbout the job you’re considering
As a Data Science Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.Your role

  • Receives tasks from the project lead functional and design specifications, gets approval from all collaborators.
  • Makes decision about area implementation based on their experience and technical expertise.
  • Leads functional design to ensure design decisions on the project meet architectural and design requirements.
  • Addresses area-level risks, provides and implements mitigation plan.
  • Initiates and conducts code reviews, creates code standards, conventions and guidelines.

Your skills and experience

  • Degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
  • 2+ years of experience in data analytics, consulting, or related role.
  • Experience with funnel optimization, user segmentation, cohort analyses, time series analyses.
  • Expertise in SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions)
  • Experience in statistical packages, such as Matlab, R, SAS or Python.
  • Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau).
  • Experience in Build full-cycle analytics experiments using SQL, R, Python or other scripting tools.
  • The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way.

Nice to have:

  • Experience building large scale, real-time applications
  • Contributor to open-source projects.

Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief

About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.
Get the future you want | www.capgemini.com
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

A Data Science Engineer position in Canada requires building distributed data processing solutions and highly loaded database solutions for various business cases. Responsibilities include receiving tasks, making decisions about implementation, leading functional design, addressing risks, conducting code reviews, and creating code standards. Required skills include a degree in a relevant domain, 2+ years of experience in data analytics, expertise in SQL queries, ETL, statistical analysis, and proficiency in analytics tools. Additional skills such as experience with large-scale, real-time applications and contributor to open-source projects are a plus. Capgemini offers various benefits for employees, and the company is committed to diversity and equal opportunity in the workplace. Applicants in the US must have valid work authorization that does not require sponsorship for employment authorization.