Senior AI Engineer
Ecolab (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 22–38 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop autonomous agentic AI systems deployed on Azure cloud infrastructure with production-grade reliability.
- Build and maintain scalable data processing workflows and CI/CD pipelines using Azure DevOps/GitHub Actions for automated testing and deployment.
- Implement monitoring, performance optimization, security best practices, and lead technical discussions and mentoring within AI engineering teams.
Minimum Requirements
- 5 to 8 years of AI/ML engineering experience with at least 2 years focused on agentic AI or autonomous systems.
- Expert proficiency in Python and advanced SQL knowledge.
- Deep experience with Azure cloud services (Azure Functions, Azure OpenAI, Azure ML, Databricks) and containerization (Docker, Kubernetes/AKS).
- Proven experience deploying and maintaining production AI systems and building CI/CD pipelines on Azure DevOps and/or GitHub Actions.
Ideal Candidate Profile
- Experienced in designing complex autonomous AI systems and operating ML workflows at scale on Azure cloud environment.
- Strong hands-on expertise with agentic AI, multi-agent systems, LLMs, and implementing robust testing and observability for AI applications.
- Senior-level engineer comfortable leading technical mentoring and cross-functional collaboration with a strong foundation in software engineering best practices.