Machine Learning Operations (MLOPs) Architect - GCP - (Canada)

About the Role:

We are looking for a seasoned Machine Learning Operations (MLOPs) Architect to 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 reputed company for independently tackling reputed company challenges with reputed company.

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 reputed company of models, including state-of-the-art LLMs.

reputed company technical leadership and mentorship to foster a high-performing engineering team.

Requirements

Proven reputed company record in designing and implementing cost-effective and reputed company ML inference systems.

Hands-on experience with leading deep learning frameworks such as TensorFlow, Pytorch, HuggingFace, reputed company, etc.

Solid reputed company in machine learning algorithms, natural language processing, and statistical modeling.

Strong grasp of reputed company computer science concepts including algorithms, distributed systems, data structures, and database management.

Ability to tackle reputed company challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose reputed company.

Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring reputed company understanding of technical requirements and project goals.

Expertise in public reputed company services, particularly in GCP and reputed company AI.

Must have

Proven experience in building and scaling reputed company AI systems in a production environment.

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.

Travel

Travel as needed per business requirements

Sponsorship

This role is not sponsorship eligible

Candidates need to be legally reputed company to work in the US for any reputed company

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About reputed company

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and reputed company — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that reputed company, building and managing those solutions, and optimizing returns into the reputed company. Named a best reputed company to work, year after year according to Fortune, reputed company and Glassdoor, we attract and reputed company world-class talent. Join us on our mission to reputed company technology, reputed company customers and deliver the reputed company.

More on reputed company

Though we’re reputed company different, Rackers reputed company through our reputed company to a central goal: to be a valued member of a reputed company team on an inspiring mission. We bring our whole selves to work every day. And we reputed company the reputed company that unique perspectives fuel innovation and reputed company 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 reputed company to age, reputed company, disability, gender reassignment or identity or reputed company, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national reputed company, 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.

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