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MLOps Engineer

Sanofi is a global biopharmaceutical company focused on human health, preventing illness with 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 biopharmaceutical company, is seeking a talented 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, focusing on accelerating R&D, manufacturing, and commercial performance through artificial intelligence and machine learning solutions.

The position offers an exciting opportunity to work with state-of-the-art technology stack and collaborate with renowned leaders in AI/ML. As an MLOps Engineer, you'll be responsible for designing and maintaining cloud-hosted AI/ML products, implementing automated pipelines, and supporting the complete lifecycle of deployed AI/ML applications. The role requires a strong technical background with at least 3 years of experience in AI/ML applications and cloud technologies.

This is an ideal opportunity for a dynamic professional who wants to make a real impact in healthcare through technology. You'll be working in an agile environment, collaborating with cross-functional teams, and contributing to solutions that ultimately help improve patients' lives. The position offers competitive compensation ($94,700 - $136,767) and comprehensive benefits, including health coverage and career development opportunities.

The role combines technical expertise with business impact, requiring skills in Python, cloud platforms, CI/CD, and various MLOps tools. You'll be part of a global organization with over 100,000 employees across 100 countries, offering plenty of opportunities for growth and international exposure. If you're passionate about using AI/ML to transform healthcare and want to work in a collaborative, innovative environment, this role at Sanofi could be your next career milestone.

Last updated 2 days 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
  • Walk stakeholders through solutions and reviewing product changes

Requirements For MLOps Engineer

Python
PostgreSQL
Kubernetes
  • University degree in Computer Science, Information Systems, Software Engineering, or related 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 IaC tools
  • Excellent communication skills in English

Benefits For MLOps Engineer

Medical Insurance
Dental Insurance
Vision Insurance
  • Comprehensive health and wellbeing benefits
  • Career growth opportunities
  • International work opportunities
  • Competitive salary package
  • Prevention and wellness programs

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