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.

MatchaTalent – (Global Oil Gas) Enterprise Infrastructure Architect – OpenShift; DevOps; MLOps; CI/CD – Vancouver, BC

Company: MatchaTalent

Location: Vancouver, BC

Job description: generation, and the marketing of crude oil, petroleum and petrochemical products, and related services to international…
This content discusses the production, distribution, and promotion of crude oil, petroleum, and petrochemical products to global markets, along with related services.
Job Description

Junior Marketing Associate

We are looking for a Junior Marketing Associate to join our team and support the Marketing department. This role will involve collaborating with our Marketing team to develop and implement marketing strategies to promote our products and services. The ideal candidate will have a passion for marketing, excellent communication skills, and a strong attention to detail.

Responsibilities:
-Assist in the development and implementation of marketing strategies
-Collaborate with the Marketing team to create marketing materials, including brochures, social media posts, and website content
-Coordinate marketing campaigns and events
-Analyze data and reports to evaluate the success of marketing initiatives
-Communicate with customers and stakeholders to gather feedback and improve marketing efforts

Requirements:
-Bachelor’s degree in Marketing, Communications, or related field
-Strong written and verbal communication skills
-Excellent organizational and time-management skills
-Proficiency in Microsoft Office and marketing tools
-Ability to work well in a team environment
-Passion for marketing and creativity

If you are a motivated individual with a passion for marketing, we want to hear from you! Apply now to join our dynamic team and contribute to our marketing success.

This job was originally posted on https://jobviewtrack.com.

Expected salary:

Job date: Wed, 10 Jul 2024 07:04:03 GMT

Loblaw Digital – Director, Data Engineering & MLOps – Toronto, ON

https://logoimg.careerjet.net/9582d3dd55c500679af5c53a43460cf1_mobile.png


Company: Loblaw Digital

Location: Toronto, ON

Job description: At Loblaw Digital, we know that our customers expect the best from us. Whether that means building the best, most innovative online shopping experiences, or designing an app that will impact the lives of people across the country, we’re up for the challenge. Loblaw Digital is the team responsible for building and operating the online businesses of Canada’s largest and most successful retailer. Based in downtown Toronto, we are an entrepreneurial, fast-paced, and collaborative team working towards transforming the way Canadians shop by creating leading eCommerce experiences in the online grocery shopping, beauty, pharmacy, loyalty, and apparel spaces, and we’re only just getting started! To achieve these goals, we are looking for talented and passionate individuals who want to collaborate and solve challenging problems and make significant and lasting impact on Canadians.

The Impact You’ll Make

You’ll help accelerate our transformation as we bring a trusted Canadian brand to customers through engaging ecommerce experiences. You’ll provide strategic direction and technical leadership to the data analytics, machine learning platform and business intelligence teams, as they partner with both business and machine-learning specialists to drive business value and exceptional experiences for our customers.

We’re building a best-in-class technology platform, and that includes robust cloud-native ML Ops capabilities, with state-of-the-art ML integrated throughout the application to build the digital versions of the experiences our customers already trust in our stores. \n

What you’ll do

  • Build and manage a high performing team of developers, analysts, M/L and data engineers
  • Lead and execute initiatives bringing best practices and state of the art thinking to our data engineering practice
  • Work closely with product teams and other tech directors to ensure the ML Ops platform we use to ship our machine-learning based services meets the highest standards of operational excellence
  • Work with the data science team to ensure we provide the tooling and support to maximize the business impact of machine-learning in our technology platform
  • Work with business and product teams to ensure the BI platform empowers reporting and data literacy across the organization
  • Lead web analytics and marketing intelligence teams to map customer behaviour and derive insights
  • Work with the SRE organization, security and privacy groups to ensure data governance and access control are implemented robustly and scalable
  • Drive a culture of engineering excellence within the Data Platform and Business Intelligence teams
  • Provide mentorship to team members, including both first-line managers and individual contributors, and act as subject matter expert

Does this sound like you?

  • Bachelors or Masters degree in a quantitative discipline (e.g. Engineering, Mathematics, Physics, Computer Science)
  • Expertise in SQL and hands-on experience with software development (preferably at least either Java or python, ideally both)
  • Strong Communication and interpersonal skills
  • Experience with cloud, M/L and Bigdata technologies (AWS, GCP, Azure, Hadoop ecosystem, Spark, Kafka, Seldon, etc.)
  • Familiarity with modern SDLC practices and agile methodologies
  • Solid intuitive understanding of data modelling fundamentals, and how they inform data sources and usability and warehouse and pipeline design
  • Ability to take initiative, multi-task and work in a fast-paced environment
  • Strong detail orientation is essential in this role

\n

How you’ll succeed

At Loblaw Digital, we seek great people to continually strengthen our culture. We believe great people model our values, are authentic, build trust and make connections. We’re able to keep innovating because our colleagues are passionate about their work and excited about the future of eCommerce. You will get to work with some of the best digital minds and will have the support of world class technologies to craft products our customers will love!

If you are unsure whether your experience matches every requirement above, we encourage you to apply anyway. We are looking for varied perspectives which include diverse experiences that we can add to our team.

We have a long-standing focus on diversity, equity and inclusion because we know it will make our company a better place to work and shop. We are committed to creating accessible environments for our colleagues, candidates and customers. Requests for accommodation due to a disability (which may be visible or invisible, temporary or permanent) can be made at any stage of application and employment. We encourage candidates to make their accommodation needs known so that we can provide equitable opportunities.
Loblaw Digital is looking for talented individuals to join their team in downtown Toronto to work on building and operating online businesses for Canada’s largest retailer. They are focused on creating innovative eCommerce experiences in various sectors such as grocery shopping, beauty, pharmacy, loyalty, and apparel. The team is looking for individuals who are passionate about making a lasting impact on Canadians through collaboration and problem-solving. The ideal candidate should have a background in quantitative disciplines, experience with software development, cloud, machine learning, and big data technologies, as well as strong communication and interpersonal skills. Loblaw Digital values diversity, equity, and inclusion and encourages candidates to apply regardless of meeting every requirement. They are committed to creating accessible environments and providing accommodation for individuals with disabilities.
Title: Receptionist/Administrative Assistant

Company: Burwood Group

Location: Chicago, IL

Burwood Group is seeking a Receptionist/Administrative Assistant to join our team in Chicago, IL. The ideal candidate will be responsible for providing exceptional customer service and administrative support.

Responsibilities:

– Greet and assist guests in a professional and courteous manner
– Answer phone calls and transfer to appropriate department
– Sort and distribute incoming mail
– Maintain office supplies inventory and order as needed
– Assist with scheduling appointments and meetings
– Perform data entry and other administrative tasks as assigned
– Provide general administrative support to the team as needed

Qualifications:

– High school diploma or equivalent
– 1-2 years of administrative or receptionist experience
– Strong communication and customer service skills
– Proficient in Microsoft Office Suite
– Ability to multitask and prioritize workload
– Detail-oriented and organized

If you are a motivated individual with excellent communication skills and a positive attitude, we encourage you to apply for the Receptionist/Administrative Assistant position at Burwood Group. Join our team and be a part of a growing, dynamic company!

Expected salary:

Job date: Fri, 16 Feb 2024 23:36:34 GMT

Senior Software Developer – Machine Learning Engineering (MLOps Lead) – Vancouver, BC


Company: Unbounce

Location: Vancouver, BC

Job description: on helping employees do their best work. Our landing page and conversion platform empowers digital marketing teams and agencies…Join Unbounce and help the world experience better marketing. We’re a people first, customer obsessed company focused…

Expected salary:

Job date: Thu, 07 Oct 2021 04:44:05 GMT

Apply for the job now!