AI - ML Engineer

AI-ML Engineer

Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you've got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That’s why we are always looking for curious minds that see themselves imagining the unimageable with us.

Your Role: Work as AI-ML Engineer for our AI-ML product portfolio. Responsible for the design, development, and evolution of our internal AI-ML product suite. The primary focus area will be (but not limited to) Agentic AI and enterprise system integrations. Work in close collaboration with product owner(s), data scientist(s), platform engineer(s), and architect(s) in feature realization, prototyping, engineering, and industrialization. You will operate within agile design and delivery cycles, informing and influencing our reference architecture through your first-hand experience.

An ideal candidate will be thorough with emerging technologies, products, and applications and can customize them to help our business become more secure and efficient.

Who You Are: Degree in Information Technology, Computer Science, Artificial Intelligence or similar fields. At least 4 years hands-on experience working in areas of AI/ML/NLP out of which at least 2 years working with GenAI. Experience with cloud-native AI-ML services offered by AWS (preferred) and/or Azure. Experience with open-source Agentic frameworks such as Lang graph, Strands SDK, Crew AI. At least piloting experience with different Agentic design patterns. Industrialization experience would be considered exceptional. At least piloting experience with different Agentic communication protocols such as MCP & A2A. Industrialization experience would be considered exceptional. Experience with industry standard auth & security procedures such as OAuth, JWT, Bearer token. Experience with good API design practices, containerization, microservices, and deployment within container orchestration services such as AWS ECS or Kubernetes is necessary. Experience with version control (git), automated testing, continuous integration, deployment, and monitoring. You can work cross-functionally.

What We Offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!