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.