Job Opportunity: Data Science Lead - AI/ML Solutions

About Sanofi

Sanofi is a leading global healthcare company dedicated to the miracles of science for improving individual well-being worldwide. Operating in over 100 countries, we are committed to transforming medicine, making the impossible possible. Our mission includes providing life-changing treatment options and life-saving vaccines while prioritizing sustainability and social responsibility.

Sanofi is currently undergoing a digital transformation, focusing on accelerating data transformation through artificial intelligence (AI) and machine learning (ML) solutions. This strategic move aims to speed up R&D, enhance manufacturing, elevate commercial performance, and deliver superior drugs and vaccines faster, thereby improving global health and saving lives.

Who You Are

As a passionate Data Science Lead, you challenge the status quo and drive the development and impact of Sanofi's AI solutions for future patients. Your leadership and hands-on experience in deploying AI/ML and GenAI solutions, along with a proven track record in technical lifecycle management, make you an essential asset to our team.

Job Highlights

This role requires a dynamic and collaborative leader with a strong technical background to lead the development and deployment of advanced Machine Learning solutions, with a focus on GenAI models. Key highlights include:

Model Design and Development

• Lead the design and development of custom Machine Learning (ML), Natural Language Processing (NLP), and Large Language Model (LLM) components for AI/ML pipelines.
• Oversee data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and fine-tuning to ensure alignment with technical and business requirements.

Collaborative Development

• Collaborate with data engineers, ML Ops, software engineers, and other tech team members to develop and implement ML solutions in a cross-functional environment.

Model Evaluation

• Work with data science team members to develop, validate, and maintain robust evaluation solutions for assessing model performance, accuracy, consistency, and reliability.
• Implement model optimizations to enhance system efficiency.

Model Deployment

• Partner with the MLOps team to deploy ML, NLP, LLM, and Gen AI models into production, ensuring reliability, scalability, and seamless integration.
• Contribute to the development of deployment strategies for NLP, LLM, and Gen AI models.

Internal Collaboration

• Work closely with product teams, business stakeholders, and data science team members to integrate machine learning models into production systems.
• Foster communication and cooperation across teams for successful project outcomes.

Problem Solving

• Troubleshoot complex issues related to machine learning model development and data pipelines.
• Innovatively develop solutions to overcome challenges and improve model performance and system efficiency.

Key Functional Requirements & Qualifications

Education and Experience:

• PhD or Master’s Degree in a related quantitative discipline with strong coding skills.
• Experience developing NLP models, including transformer architectures.
• Professional experience in large-scale information search and retrieval and as a Backend and/or Software Engineer.

Technical Skills:

• Hands-on experience with LLMs (GPT, Claude) and common platforms.
• Knowledge of Vector Databases and developing RAG applications.
• Disciplined AI/ML development, including CI/CD and orchestration.

Communication and Collaboration:

• Excellent written and verbal communication, business analysis, and data visualization skills.
• Proven ability to collaborate with cross-functional teams (e.g., business, product, and digital).

Team Management:

• Experience managing technical build and development teams.

Preferred Qualifications:

• Experience in the technology industry or tech consulting.

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