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Mid-level ML role in Bangalore with popular LLM/MLOps skills attracts many qualified applicants.
Strong ML/LLM and MLOps requirements make cross-industry transfer moderate but feasible.
Explicit 2-5 year requirement plus mandatory LLM, MLOps, and specific tooling experience makes filters stringent.
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Own end-to-end design, development, and deployment of AI/ML solutions including Generative AI, LLMs, RAG pipelines, and Agentic AI systems.
Develop and maintain production-grade MLOps pipelines for model deployment, monitoring, and retraining.
Collaborate with cross-functional teams to translate business needs into scalable AI solutions and mentor junior engineers.
2-5 years of hands-on experience in AI, Machine Learning, Data Science, or related software engineering roles.
Bachelor's or Master's degree in Computer Science, AI, Data Science, IT, or related field.
Strong Python programming skills with production-quality code experience.
Hands-on knowledge of LLMs, Generative AI, agentic AI frameworks (e.g., LangChain), RAG implementations, and familiarity with REST APIs, SQL/NoSQL, Git, Docker, and cloud services.
Experienced AI/ML engineer with proven delivery of enterprise AI solutions including LLM-based and agentic AI systems.
Comfortable operating independently on complex AI projects involving MLOps, cloud integration, and cross-team collaboration.
Has worked extensively with modern AI frameworks, vector databases, and MLOps tools, capable of guiding junior engineers and contributing to architectural decisions.