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Sanofi Group MLOps Engineer Lead I in Cambridge, Massachusetts

Sanofi Data Science CoE is seeking an MLOps Engineer Lead towho has the ability to deeply understand the larger data ecosystem system from model requirements to business needs. You will focus on designing tools and capabilities that help the team deploy more models to production. You’re able to connect what you’re building to the downstream impact of how it will improve the product. The MLOps Engineer Lead will also have responsibilities in modelling complex business problems and aid in the discovery of business insights through the use of statistical, algorithmic, mining, and visualization techniques.


  • Lead data science area deliverables for digital products / programs / initiatives including the allocation of work within the team, monitors the quantitative and qualitative achievements of the team, and reports results

  • Work as an individual contributor, providing data science expertise to digital products / programs / initiatives

  • Work with teams to design and build cloud hosted, automated pipelines that run, monitor, and retrain ML Models for business applications in an agile manner

  • Have a strategic perspective of how several machine learning solutions come together against a team, technical product strategy, and lead to an optimal sequence of work

  • Enhance and improve the code deployment and model monitoring frameworks and project operations documentation

  • Support life cycle management of deployed ML apps life cycle management (e.g. new releases, change management, monitoring and troubleshooting)

  • Excellent communication skills with demonstrated experience driving teams forward and the ability to influence technical decisions to line up with the company’s strategy

  • Work as subject matter expert for app user base (e.g. maintain user guides, release notes, FAQs)

  • Build processes supporting app monitoring, troubleshooting, life cycle management and customer support

  • Mentor and coach data scientists, engineers and developers, helping them grow both their technical and non-technical skill

  • A desire to build great things with a great team!


  • Work all over the full stack is a must have, moving fluidly between programming languages and technologies: Python, PySpark, R, MLFlow, AWS Lambda, Kibana, AWS S3, Gitlab and API, postgres databases, SQL, RShiny, Python DASH, Airflow, Jenkins, Kubernetes, DataBricks

  • Knowledge of SQL and relational databases, query authoring (SQL) and designing variety of databases (e.g. Postgres SQL)

  • Create and develop in CI/CD Pipelines which allow for controlled and continuous enhancement of existing work and new features during both development and production phases

  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets

  • Experience supporting and working with cross-functional teams in an agile environment

  • Experience in agile product development

  • Experience in the operationalization of Data Science projects (MLOps) using AWS

  • Good understanding of ML and AI concepts and hands-on experience in ML model development

  • Good understanding of UX design

  • Excellent communication skills in English, both verbal and in writing


  • Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field with 5+ years ML engineering or engineering support for Data Science experience in an industrial / commercial setting (global organization, life sciences & healthcare a plus), or a PhD and 3+ years of similar experience

  • AI/ML development designing CI/CD Pipelines, deploying models to production and managing them

  • Building and optimizing "big data" pipelines, architectures and data sets

  • AI/Working in cloud and high-performance computational environments (AWS, Databricks preferred)

  • Operations of AI/ML modeling of complex datasets, Development experience desired

  • Experience specifying infrastructure to be built using tools such as Terraform or Jenkins

  • Performing alongside with Business units in Data Driven Projects

This role will be situated and aligned with the Data Science Lead function and role.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.



At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.