Senior AI-ML Platform Engineer / Tech Lead (all genders)
Merck KGaA (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–48 LPA
Posted on 24 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead and evolve the AI/ML platform powering organizational intelligent capabilities, ensuring quality, accuracy, and timeliness of outputs.
- Manage a team of engineers by setting objectives, supporting development, and maintaining platform standards aligned with enterprise and governance practices.
- Act as key technical liaison across Cloud, Cybersecurity, Governance, and engineering teams to address complex engineering challenges and prioritize platform initiatives.
Minimum Requirements
- 8+ years of software or platform engineering experience; at least 2 years with large language model operations (LLMOps) in production.
- Hands-on experience with LLM/API gateway technologies like LiteLLM or comparable and multi-provider integration with Azure OpenAI, Azure AI Foundry, AWS Bedrock.
- Proficiency in cloud-native technologies on AWS/Azure including container orchestration (ECS Fargate), secrets management, databases, networking, and load balancing.
- Strong backend development skills with Python and asynchronous frameworks; experience with infrastructure-as-code tools (Terraform/CloudFormation) and CI/CD tooling (Azure DevOps); 熟悉 IAM technologies including Entra ID, JWT, OIDC, and SSO.
Ideal Candidate Profile
- Experienced technical leader comfortable balancing hands-on engineering with managing and setting priorities for a team to deliver scalable, high-quality platform solutions.
- Expertise in large language model operations and multi-cloud AI platform integrations to operate and optimize AI/ML platforms at scale.
- Deep understanding of enterprise engineering standards and governance, collaborating across cloud, cybersecurity, and governance teams to ensure compliance and platform excellence.