R&D AI/ML Product Engineer
Hyderabad, India
Sanofi
Sanofi pushes scientific boundaries to develop breakthrough medicines and vaccines. We chase the miracles of science to improve people’s lives.Position Title: R&D AI/ML Product Engineer
About the Job
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as AI/ML Product Engineer and you can help make it happen.
What you will be doing:
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.
As a AI/ML Product Engineer, you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products. As a part of this team, you will be responsible for the designing and developing the endpoints or databases where AI/ML models can be deployed and accessed. You will have the ability to work on multiple AI/ML products serving multiple areas of the business.
Our vision for digital, data analytics and AI
Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:
AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
World Class Mentorship and Training: Working with renown leaders and academics in machine learning to further develop your skillsets.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
Main Responsibilities:
AI /ML Product Engineering:
Provide input into the engineering feasibility of developing specific R&D AI Products
Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates
Collaborate with AI/ML model development teams to understand the inner workings of the AI/ML model and handoffs
Engineer AI/ML product (incl. workflows, API endpoints, databases) based on defined requirements for specific use cases, typically involving the processing of data directly from an AI/ML model and subsequently consuming the data output from the refined AI/ML model
Develop an intuitive user interface for users to interact with the AI/ML model
Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans
Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories
Optimize workflows to drive high performance and reliability of implemented AI products
Oversee and support junior engineer with Data/AI Product testing requirements and execution
Innovation & Team Collaboration:
Stay current on industry trends, emerging technologies, and best practices in data product engineering
Contribute to a team culture of of innovation, collaboration, and continuous learning within the product team
About You:
Key Functional Requirements & Qualifications:
Bachelor’s degree in software engineering or related field, or equivalent work experience
3-5 years of experience in AI/ML product engineering, software engineering, or other related field
Deep understanding and proven track record of developing data pipelines and workflows
Understanding of R&D business and data environment preferred
Excellent communication and collaboration skills
Working knowledge and comfort working with Agile methodologies
Key Technical Requirements & Qualifications:
Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica)
Experience with the design and development of APIs/Endpoints (e.g., Flask, Django, FastAPI)
Expertise in cloud platforms and software involved in the deployment and scaling of AI/ML models
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
Pursue Progress
Discover Extraordinary
Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com!
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
Thank you in advance for your interest.
Only those candidates selected for interviews will be contacted.
Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs AWS Data Analytics Data management Data pipelines Django Engineering Excel FastAPI Flask Informatica Java Machine Learning ML models Pipelines Python R R&D Scrum Snowflake SQL Statistics Testing
Perks/benefits: Career development Equity / stock options Health care Wellness
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