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AI-ML Engineer at Sigma-Aldrich Chemicals Private Limited

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, ML, NLP, GenAI, Cloud-native Services, Agentic Frameworks, API Design, Containerization, Microservices, Deployment, Version Control, Automated Testing, Continuous Integration, Monitoring, Security Procedures, Agile Methodologies

Industry

Biotechnology Research

Description

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.

Responsibilities

Design, develop, and evolve the internal AI-ML product suite, focusing on Agentic AI and enterprise system integrations. Collaborate with cross-functional teams in feature realization, prototyping, engineering, and industrialization.