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Mid-level ML role in Bengaluru with broad LLM+cloud skills attracts many qualified applicants.
LLM and cloud ML skills are transferable, but product-growth and finance domain needs increase fit sensitivity.
Multiple mandatory ML/LLM, cloud, and tool-specific requirements with explicit years make shortlisting highly strict.
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Lead end-to-end product lifecycle for AI-driven finance products focused on growth and user behavior.
Implement large language models (LLM), multi-agent AI, and NLP solutions to enhance product features.
Manage data integrity, perform A/B testing, benchmark competitors, and collaborate with cross-functional teams to align product roadmap with business goals.
Work Experience Required: 3 to 4 years in product and growth domain with AI/ML focus.
Mandatory technical skills include Python, FASTAPI, Swagger, Postman, SQL, Excel, Langchain, LangGraph, and AWS services (Amazon Bedrock, SageMaker, S3, EC2).
Experience with LLM monitoring, observability, fine-tuning, guardrails development, RAG, vector databases, and version control tools such as Bitbucket and Github.
Hands-on knowledge of statistical analysis, A/B testing, linear regression, logistic regression, and tree-based ML algorithms.
Experienced AI/ML engineer with strong product ownership in finance or related growth products.
Proficient in building and deploying scalable AI models using AWS infrastructure and advanced API tools.
Data-driven decision maker skilled in customer behavior analysis, benchmarking, and experimentation to optimize product performance.