Must have skill:
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Strong Python proficiency
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Deep experience with ML/AI frameworks
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Hands-on experience with GenAI orchestration tools (e.g., LangChain)
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Cloud deployment experience (AWS Bedrock, GCP Vertex AI)
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Expertise in LLMs, Agentic Flows, RAG, Embeddings, GCP
Good to have:
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OpenShift or containerization experience
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Open-source AI contributions or ML publications
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Experience in Identity and Access Management (IAM) domain
Roles and Responsibilities:
Design, build, and train ML/deep learning models for business problems
Build GenAI applications: fine-tune foundation models (LLMs, CV, or NLP), RAG pipelines, and multi-agent systems
Clean and optimize data (structured & unstructured) for training pipelines
Integrate AI features into products, working closely with engineers, data scientists, and PMs
Total Experience Expected: 04-06 years
