Rackspace Technology – Machine Learning Architect (AWS) – Canada – Toronto, ON – Ottawa, ON

Company: Rackspace Technology

Location: Toronto, ON – Ottawa, ON

Expected salary: $153000 – 244700 per year

Job date: Fri, 25 Apr 2025 23:50:56 GMT

Job description: We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. We are looking for a Machine Learning Architect with experience in cloud (AWS preferred) who is passionate about helping customers build AI/ML solutions at scale. Being an experienced technologist with technical depth and breadth, aided with strong interpersonal skills, you will work directly with customers as part of a delivery team, helping to enable innovation by creating state of the art Machine Learning solutions that align to business goals.This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements.The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solution strategies, motivate & mobilize resources, and deliver results. The ability to connect technology with measurable business value is a critical component to be successful in this role. We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer’s business. Strong communication skills and emotional intelligence are also needed to help develop a team that works with you.Work Location: Remote \nKey Responsibilities:

  • Design machine learning solutions and execute machine learning projects end to end from proof-of-concept stage to deployment in production using cloud native technologies and state of the art machine learning models.
  • Be technically focused but work directly with the business representatives/customers to understand the requirements driving the need for a solution to be developed.
  • Be responsible for all phases of the project from problem definition, data annotation, model development, model deployment to end user documentation/training.
  • Design the architecture of ML solutions on cloud platforms (AWS, Azure, GCP) including MLOPs.
  • Stay abreast of the latest developments. Read the latest published machine learning research and adapt the models to solve customer’s problems.
  • Establish credibility by demonstrating technical excellence and delivering value through solutions you build. Develop strong relationships with our customers.

Qualifications:

  • Masters with 10+ years of experience or PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP) and Deep Learning.
  • Minimum 5+ years of experience architecting and building Machine Learning solutions.
  • Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).
  • Experience building ML models and strong knowledge of ML techniques is required.
  • Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs.
  • Strong coding experience in Python and architectural patterns like microservices.
  • Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment.
  • Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project.
  • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.

Travel:

  • As per business requirements

\n$153,000 – $244,700 a year#LI-VM1#LI-Remote#Rackspace#LI-RackspaceAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. \n

Rackspace Technology – Senior Data Architect – Big Data (AWS) – Canada – Toronto, ON – Ottawa, ON

Company: Rackspace Technology

Location: Toronto, ON – Ottawa, ON

Expected salary:

Job date: Sat, 26 Apr 2025 01:34:46 GMT

Job description: As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.OverviewAs a Big Data Architect, you are passionate about data and technology solutions, are driven to learn about them and keep up with market evolution. You will play an active role in delivering modern data solutions for clients including data ingestion/data pipeline design and implementation, data warehouse & data lake architectures, cognitive computing and cloud services. You are enthusiastic about all things data, have strong problem-solving and analytical skills, are tech savvy and have a solid understanding of software development.If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?\nWhat you’ll be doing:

  • Lead, define and implement end-to-end modern data platforms in support of analytics and AI use cases
  • Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to lead identification and definition of required data structures, formats, pipelines, metadata, and workload orchestration capabilities
  • Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
  • Be the technical liaison between customers and engineering teams
  • Directly collaborate with the sales team to formulate and execute a sales strategy to facilitate the adoption of AWS and big data technologies and help build offerings
  • Be an AWS evangelist by educating a variety of customers on the value of AWS and AWS’s Data services
  • Traveling up to 50% of the time

Qualifications & Experience:

  • 5+ years experience leading engagements from design to implementation of creative data solutions leveraging the latest in Big Data frameworks, supporting on-premise, cloud (Ideally AWS) and hybrid architectures to enable use cases in analytics and AI
  • 5+ years experience architecting solutions for optimal extraction, transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured, unstructured, and semi-structured using SQL, NoSQL and data pipelines for real-time, streaming, batch and on-demand workloads
  • 3+ years experience with analytics/data management strategy formulation, architectural blueprinting, business case development and effort estimation of disruptor based analytics
  • 3+ years working in the cloud or multi-server complex environments. Experience with AWS a requirement.
  • Ability to simplify complex technical concepts into an easy-to-understand non-technical language in order to facilitate, communicate and interact with executives and business stakeholders
  • Experience with Agile development methods in data-oriented projects

Strong candidates will also have some of the following capabilities:

  • Strong SQL, Database, Data Modeling, Data Warehousing and Development skills
  • Strong programming / scripting experience using various languages such as Java, .NET, Python, Scala, Javascript, etc.
  • Experience in Cloud Big Data & Analytics Services on the cloud (AWS preferred ie. S3, Redshift, Athena, EMR, Glue, Quicksigh,, etc.)
  • Experience with Dashboarding and Reporting Tools used in the Industry (Tableau, Qlik, etc.)
  • Experience with industry ETL tools (Informatica, Talend, SSIS, etc.)
  • Have strong people management skills: leading teams, training, onboarding, offboarding, etc.
  • Certifications in architecture, data engineering and development from AWS (Preferred)
  • Subject matter data expertise in Financial Services (Banking, Insurance), Consumer Products (Retail), Energy & Resources, Life Sciences (Healthcare) and Government (Transport, Higher Ed, Social Services) industries
  • Experience with implementation of data security, encryption, PII/PSI legislation, identity and access management across sources and environments
  • Knowledge of software configuration management environments and tools such as JIRA, Git, Jenkins, TFS, Shell, powershell, Bitbucket, etc.

Educational Qualifications:

  • Bachelor’s Degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field is desired

\n#LI-VM1#LI-Remote#Rackspace#LI-RackspaceAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Rackspace Technology – Principal MLOPs Engineer (Canada) – Toronto, ON

Company: Rackspace Technology

Location: Toronto, ON

Expected salary:

Job date: Fri, 28 Mar 2025 04:19:57 GMT

Job description: About the Role:We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions. \nWhat you will be doing:

  • Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
  • Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
  • Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
  • Provide technical leadership and mentorship to foster a high-performing engineering team.

Requirements:

  • Proven track record in designing and implementing cost-effective and scalable ML inference systems.
  • Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
  • Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
  • Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
  • Proficiency and recent experience in Java is required (Must have)
  • Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
  • Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
  • Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
  • Expertise in public cloud services, particularly in GCP and Vertex AI.

Must have:

  • Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
  • Proficiency and recent experience in Java is required (Must have)
  • In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.
  • Technical degree: Bachelor’s degree in Computer Science with a minimum of 10+ years of relevant industry experience, or
  • A Master’s degree in Computer Science with at least 8+ years of relevant industry experience.
  • A specialization in Machine Learning is preferred.

\n#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-RemoteAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Rackspace Technology – Senior MLOPs Engineer (Canada) – Toronto, ON

Company: Rackspace Technology

Location: Toronto, ON

Expected salary:

Job date: Wed, 14 Aug 2024 23:27:43 GMT

Job description: About the Role:We are looking for a seasoned Senior ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions. \nWhat you will be doing:

  • Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
  • Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
  • Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
  • Provide technical leadership and mentorship to foster a high-performing engineering team.

Requirements:

  • Proven track record in designing and implementing cost-effective and scalable ML inference systems.
  • Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
  • Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
  • Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
  • Expert-level proficiency in at least one programming language such as Java, Python, or C++.
  • Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
  • Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
  • Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
  • Expertise in public cloud services, particularly in GCP and Vertex AI.

Must have:

  • Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
  • In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.
  • Technical degree: Bachelor’s degree in Computer Science with a minimum of 8 years of relevant industry experience, or
  • A Master’s degree in Computer Science with at least 6 years of relevant industry experience.
  • A specialization in Machine Learning is preferred.

\n#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-RemoteAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Rackspace Technology – Principal MLOPs Engineer (Canada) – Toronto, ON

Company: Rackspace Technology

Location: Toronto, ON

Expected salary:

Job date: Thu, 15 Aug 2024 01:17:17 GMT

Job description: About the Role:We are looking for a seasoned Principal ML OPS Engineer to architect, build, and optimize ML inference platform. The role demands an individual with significant expertise in Machine Learning engineering and infrastructure, with an emphasis on building Machine Learning inference systems. Proven experience in building and scaling ML inference platforms in a production environment is crucial. This remote position calls for exceptional communication skills and a knack for independently tackling complex challenges with innovative solutions. \nWhat you will be doing:

  • Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
  • Collaborate closely with cross-functional teams to translate business objectives into robust engineering solutions.
  • Own the end-to-end development and operation of high-performance, cost-effective inference systems for a diverse range of models, including state-of-the-art LLMs.
  • Provide technical leadership and mentorship to foster a high-performing engineering team.

Requirements:

  • Proven track record in designing and implementing cost-effective and scalable ML inference systems.
  • Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
  • Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
  • Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
  • Expert-level proficiency in at least one programming language such as Java, Python, or C++.
  • Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
  • Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
  • Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
  • Expertise in public cloud services, particularly in GCP and Vertex AI.

Must have:

  • Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
  • In-depth understanding of LLM architectures, parameter scaling, and deployment trade-offs.
  • Technical degree: Bachelor’s degree in Computer Science with a minimum of 10+ years of relevant industry experience, or
  • A Master’s degree in Computer Science with at least 8+ years of relevant industry experience.
  • A specialization in Machine Learning is preferred.

\n#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-RemoteAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.

Rackspace Technology – Senior Big Data Hadoop ML Engineer (GCP) – Canada – Toronto, ON

Company: Rackspace Technology

Location: Toronto, ON

Expected salary:

Job date: Sat, 24 Aug 2024 06:40:25 GMT

Job description: About the Role:We are seeking a highly skilled and experienced Senior Big Data Engineer to join our dynamic team. The ideal candidate will have a strong background in developing batch processing systems, with extensive experience in the Apache Hadoop ecosystem (Map Reduce, Oozie, Hive, Pig, HBase, Storm). This role involves working in Java, and working on Machine Learning pipelines for data collection or batch inference. This is a remote position, requiring excellent communication skills and the ability to solve complex problems independently and creatively.Work Location: US-Remote\nWhat you will be doing:

  • Develop scalable and robust code for large scale batch processing systems using Hadoop, Oozie, Pig, Hive, Map Reduce, Spark (Java), Python, Hbase
  • Develop, manage, and maintain batch pipelines supporting Machine Learning workloads
  • Leverage GCP for scalable big data processing and storage solutions
  • Implementing automation/DevOps best practices for CI/CD, IaC, etc.

Requirements:

  • Proficiency in in the Hadoop ecosystem with Map Reduce, Oozie, Hive, Pig, HBase, Storm
  • Strong programming skills with Java, Python, and Spark
  • Knowledge in public cloud services, particularly in GCP.
  • Experienced in Infrastructure and Applied DevOps principles in daily work. Utilize tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes.
  • Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
  • Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
  • Proven experience in engineering batch processing systems at scale.
  • Hands-on experience in public cloud platforms, particularly GCP. Additional experience with other cloud technologies is advantageous.

Must Have:

  • Experience with batch pipelines supporting Machine Learning workloads
  • Strong experience in programming language such as Java
  • Strong experience in the Apache Hadoop ecosystem
  • 10+ years of experience in customer-facing software/technology or consulting
  • 5+ years of experience with “on-premises to cloud” migrations or IT transformations
  • Technical degree: Computer Science, Software Engineering or related

Good to Have:

  • Familiarity with Terraform
  • Familiarity with Python
  • 5+ years of experience building, and operating solutions built on GCP

\n#LI-VM1#Rackspace#LI-Rackspace#LI-USA#LI-Canada#LI-RemoteAbout Rackspace TechnologyWe are the multicloud solutions experts. We combine our expertise with the world’s leading technologies – across applications, data and security – to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace TechnologyThough we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.