MLOps/LLMOps Engineer-Senior Associate

As an MLOps/LLMOps Engineer-Senior Associate, you will be responsible for designing, building, and maintaining machine learning and large language model (LLM) operations infrastructure. This includes automating model training, deployment, and monitoring workflows, as well as ensuring the reliability, scalability, and security of these systems. You will collaborate with data scientists, AI/ML engineers, and product teams to integrate ML/LLM capabilities into enterprise applications and services. Key responsibilities include developing containerized ML/LLM pipelines, implementing model versioning and deployment strategies, setting up monitoring and observability solutions, and optimizing ML/LLM system performance and cost-efficiency. You will also contribute to the development of reusable MLOps and LLMOps frameworks and tooling. Strong hands-on experience with cloud-based ML/LLM platforms, containers, and infrastructure-as-code is essential.

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