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MLOps Engineer

A global biopharmaceutical company focused on human health, preventing diseases through vaccines and providing innovative treatments.
$94,700 - $136,767
Machine Learning
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
AI · Healthcare

Description For MLOps Engineer

Sanofi, a leading global healthcare company, is seeking a MLOps Engineer to join their digital transformation journey in Toronto. This role is part of Sanofi's ambitious initiative to become an AI-first organization, accelerating R&D, manufacturing, and commercial performance to bring better drugs and vaccines to patients faster.

The position offers an exciting opportunity to work with state-of-the-art technology stack and collaborate with renowned leaders in AI/ML. As a MLOps Engineer, you'll be responsible for designing and maintaining cloud-hosted AI/ML products, implementing automated pipelines, and supporting the full lifecycle of AI applications. The role requires expertise in cloud technologies, programming languages like Python, and MLOps tools.

The ideal candidate will have at least 3 years of experience in AI/ML application deployment, strong programming skills, and experience with cloud infrastructure. You'll work in an agile environment, collaborating with data scientists and engineers to build scalable AI solutions. The position offers competitive compensation ($94,700 - $136,767) and comprehensive benefits.

Sanofi provides an inclusive work environment with opportunities for career growth, both locally and internationally. The company's mission to chase the miracles of science to improve people's lives offers a meaningful career path for those passionate about healthcare innovation and AI technology. With over 100,000 employees in 100 countries, Sanofi offers a truly global perspective and the chance to make a significant impact in healthcare through cutting-edge AI solutions.

Last updated 4 hours ago

Responsibilities For MLOps Engineer

  • Design, build and maintain cloud hosted AI/ML products with automated pipelines
  • Implement automated ML pipelines for training and inference
  • Support life cycle management of deployed AI/ML apps
  • Work as intermediate level subject matter expert in MLOps
  • Build processes and reusable components supporting seamless ML Operations
  • Maintain effective relationships with app userbase
  • Research and gain expertise on emerging tools and technologies

Requirements For MLOps Engineer

Python
PostgreSQL
Kubernetes
  • University degree in Computer Science, Information Systems, Software Engineering, or another quantitative field
  • Minimum 3 years of experience in building, deploying, monitoring and maintaining AI/ML applications
  • Experience with cloud technologies (AWS, GCP, Azure, Snowflake)
  • Proficiency in Python and MLOps technologies
  • Experience in implementing CI/CD pipelines for AI/ML driven app development
  • Knowledge of relational and non-relational databases
  • Experience in visualization technologies
  • Experience in developing and maintaining backend APIs
  • Experience in cloud infrastructure and Infrastructure as code tools
  • Excellent communication skills in English

Benefits For MLOps Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Health and wellbeing benefits
  • High-quality healthcare
  • Prevention and wellness programs
  • Career growth opportunities
  • International opportunities
  • Comprehensive rewards package

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