Machine Learning Engineer

Role : Architect - Machine Learning (Agentic AI Specialist)

Experience : 7 - 12 Years

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

• Strong 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.

What is in it for you:

• Make an impact at one of the worlds fastest-growing AI-first digital engineering companies.
• Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
• Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
• Stay ahead of the curveimmerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.