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Senior Machine Learning (ML) Engineer

Sanofi is an innovative global healthcare company dedicated to transforming the practice of medicine and improving people's lives through science.
$108,900 - $157,300
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
5+ years of experience
AI · Healthcare

Description For Senior Machine Learning (ML) Engineer

Sanofi, a global healthcare leader with over 100,000 employees across 100 countries, is seeking a Senior Machine Learning Engineer to join their digital transformation journey. 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 AI/ML solutions. The position sits within the MLOps Engineering department in Toronto, offering a competitive salary range of $108,900 - $157,300.

The ideal candidate will be responsible for designing and implementing AI/ML applications, working in agile PODs, and managing the complete lifecycle of ML systems. This role combines hands-on technical work with leadership responsibilities, including mentoring junior team members and contributing to the AI engineering center of practice community.

Sanofi offers an exceptional environment for professional growth, with opportunities to work alongside world-class AI/ML experts and academics. The company provides comprehensive benefits, including extensive healthcare coverage, wellness programs, and generous parental leave. This position offers the chance to make a direct impact on patient lives while working with cutting-edge technology in a hybrid work environment.

The role requires expertise in MLOps, strong programming skills across multiple languages, and the ability to build scalable, robust AI/ML solutions. You'll be joining a highly collaborative team of tech enthusiasts from world-class tech companies, working to transform Sanofi into a data-driven, AI-focused organization. This is an excellent opportunity for an experienced ML engineer looking to make a meaningful impact in healthcare while advancing their career in a supportive, innovation-driven environment.

Last updated a day ago

Responsibilities For Senior Machine Learning (ML) Engineer

  • Design, build, deploy and maintain AI/ML applications with focus on scalability, reliability, and security
  • Work in agile PODs to develop AI/ML products
  • Implement automated model training and deployment pipelines
  • Support end-to-end lifecycle management of deployed AI/ML applications
  • Build scalable, robust, and reusable code
  • Work closely with product management team
  • Mentor junior team members
  • Develop Architecture Decision Record (ADR)
  • Build processes and reusable components for ML Operations
  • Maintain effective relationships with app userbase

Requirements For Senior Machine Learning (ML) Engineer

Python
  • Experience as a Machine Learning Engineer
  • Experience in deploying AI/ML solutions
  • Strong technical lifecycle management skills
  • Full stack development capabilities
  • Ability to work with multiple programming languages
  • Experience with MLOps

Benefits For Senior Machine Learning (ML) Engineer

Medical Insurance
Parental Leave
Mental Health Assistance
  • Health and wellbeing benefits
  • High-quality healthcare
  • Prevention and wellness programs
  • 14 weeks gender-neutral parental leave
  • Career growth opportunities
  • International opportunities
  • Comprehensive rewards package

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