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Bengaluru metro and mid-level (4–6 yrs) boost competition, GenAI specialization partially reduces candidate pool.
Core GenAI, LLM and Python skills transfer across industries, but domain IAM experience raises specificity.
Explicit 4–6 years plus required LLM, LangChain, cloud and Python make filters strict.
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Design, build, and train ML/deep learning models to address business problems.
Develop and fine-tune GenAI applications including foundation models, RAG pipelines, and multi-agent systems.
Integrate AI features into products collaborating with engineers, data scientists, and product managers.
4-6 years of relevant work experience in ML/AI roles.
Strong proficiency in Python and deep experience with ML/AI frameworks.
Hands-on experience with GenAI orchestration tools such as LangChain and cloud deployment on AWS Bedrock or GCP Vertex AI.
Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or relevant field.
Experienced in working with large language models (LLMs), agentic flows, retrieval-augmented generation (RAG), and embeddings.
Comfortable with cloud AI platforms and capable of end-to-end GenAI solution development.
Operationally skilled in data cleaning and pipeline optimization for training models.