ML Engineer

Machine Learning Engineer at BioAIM, Sanofi

About Sanofi:

Sanofi is a global healthcare leader dedicated to improving lives by advancing the miracles of science. Operating in over 100 countries, our mission is to transform medicine and bring life-saving treatments and vaccine protection to millions worldwide. We prioritize sustainability and social responsibility in all that we do.

Sanofi is on an ambitious digital transformation journey, emphasizing AI and ML to accelerate R&D, manufacturing, and commercial performance. Our goal is to deliver better drugs and vaccines faster, thus enhancing health and saving lives. Central to this is the Biologics x AI Transformation initiative—a pioneering, data-driven team blending AI platforms, data engineering, ML operations, data science, and computational biology to revolutionize biologics research.

Role Overview:

As a seasoned Machine Learning Engineer, you'll leverage large-scale ML systems to enhance drug discovery and scale Sanofi's AI solutions for future patients. You excel in collaborative environments and can lead technical decision-making. Your expertise in deploying AI/ML solutions and infrastructure will drive improvements in software engineering and ML integration alongside our computational and data scientists.

Key Responsibilities:

• Design and build cloud-based ML products with automated CI/CD pipelines within agile pods, including monitoring and retraining ML models.
• Collaborate with computational scientists and data engineers to design and implement ML applications.
• Support the MLOps lifecycle for new and existing ML applications, managing releases and changes.
• Act as an ML systems architecture expert, developing and maintaining enterprise standards, user guides, and FAQs.
• Ensure seamless ML integration, including app monitoring, troubleshooting, and customer support.
• Maintain robust user relationships and create educational content.
• Stay updated on emerging tools and technologies, maintaining a curiosity-driven approach to learning.
• Build and evaluate models from diverse data sources using advanced ML technologies.
• Work closely with computational scientists, data engineers, software engineers, and UX designers on international projects focused on protein therapeutics.
• Update and report project results to interdisciplinary teams and stakeholders.

Requirements & Qualifications:

• MS or PhD in Computer Science, Statistics, Mathematics, Information Systems, Software Engineering, or a related field.
• 1+ years of industry experience preferred, though new grads are welcome to apply.
• Proficiency in data science, statistics, software engineering, modular design, and design thinking.
• Experience with CI/CD pipelines for AI/ML development and model deployment.
• Experience working in agile environments and with cross-functional teams.
• Strong understanding of ML and AI concepts with hands-on development experience.
• Knowledge of deployment and agile lifecycle management of data science applications.
• Competency in multiple programming languages (e.g., Python, SQL, Spark) and frameworks (e.g., Airflow, MLFlow, Argo).
• Experience with high-performance computing environments.
• Proficiency with AWS services (e.g., S3, Lambda, SageMaker, CloudWatch, EC2, EFS, FSX).
• Familiarity with relational and non-relational databases.
• Excellent English communication skills, both verbal and written, and strong teamwork abilities.

Desired Qualifications:

• Experience managing lifecycles in regulated environments.
• Knowledge of protein structure or sequence is a plus.
• Understanding of the pharma R&D process is advantageous.

Pursue Progress. Discover Extraordinary.

Sanofi is fueled by people from diverse backgrounds striving to make a positive impact. We invite you to chase change, embrace new ideas, and explore the endless opportunities we offer. Let’s pursue progress and discover the extraordinary together.

We assess visa sponsorship on a case-by-case basis according to business needs and resources.

Sanofi is an equal opportunity employer. We ensure equal opportunities for all, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

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