Role : Architect - Machine Learning (Agentic AI Specialist)

Experience : 7 - 12 Years

Location : Mumbai/ Bangalore

Key Responsibilities

- Design build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
- Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
- Select/integrate/finetune LLMs multimodal models
- Apply prompt-engineering techniques to specific use cases and types
- Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, etc.
- Should have a clear understanding of CI/CD.
- Should have knowledge in configuring guardrails and PII redaction.
- Experience with LLM models monitoring and fine-tuning, addressing hallucinations
- Should be able to work on solution building along with presales/customer teams
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.

Required Skills





- Solid Python experience to build multiple AI-ML/ GenAI Solutions.
- Should have working experience on Amazon Bedrock AgentCore, AWS QuickSuite, AWS Transform, and Kiro
- Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, and AutoGen.
- Strong experience working on Vector DB like Pinecone, Milvus, Redis/pgvector; Should have experience working on hybrid search and re-rankers
- Should have experience in evaluation observability
- Experience working on SQL Query, NLP, CV, and Deep Learning Algorithms
- Should have working experience with Open Source Models
- Experience in UI/UX will be an added advantage.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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