Principal MLOPs Engineer (Canada)

Rackspace Technology • Toronto, Ontario, Canada • 14h ago

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.

About Rackspace Technology

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