Principal MLOPs Engineer (Canada)

Rackspace Technology; Toronto; Remote; CAD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Principal ML OPS Engineer to architect and optimize cutting-edge ML inference platforms. This role requires a seasoned professional with extensive experience in machine learning engineering, particularly in building scalable systems. You'll collaborate with cross-functional teams to translate business needs into innovative engineering solutions while providing technical leadership to a high-performing team. Join a forward-thinking company committed to leveraging technology to empower customers and drive future success. If you thrive in a dynamic environment and are passionate about machine learning, this opportunity is perfect for you.

Qualifications

• 10+ years of experience in ML engineering with expertise in inference systems.
• Strong background in algorithms, distributed systems, and database management.

Responsibilities

• Architect and optimize data infrastructure for ML models.
• Lead the development of high-performance inference systems.

Skills

Machine Learning Engineering

Java

Deep Learning Frameworks (TensorFlow, Keras, Spark MLlib)

Natural Language Processing

Statistical Modeling

Apache Hadoop Ecosystem

Cloud Services (GCP, Vertex AI)

Education

Bachelor's Degree in Computer Science

Master's Degree in Computer Science

Tools

Apache Hadoop

GCP

Vertex AI

Job description

3 days ago Be among the first 25 applicants

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.

What 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.
  
  
  

#Rackspace

About Rackspace Technology

We 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 Technology

Though 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Education and Training

• Industries

  IT Services and IT Consulting

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