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Machine Learning Engineer-Agentic AI
Machine Learning Engineer-Agentic AIInnodata Inc. • tirunelveli, tamil nadu, in
Machine Learning Engineer-Agentic AI

Machine Learning Engineer-Agentic AI

Innodata Inc. • tirunelveli, tamil nadu, in
23 days ago
Job description

ML Engineer – Agentic AI

Responsibilities

  • Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks.
  • Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration.
  • Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines.
  • Develop APIs and backend services (FastAPI / Flask / Node.js) and integrate with enterprise systems (HRIS, CRM, ERP).
  • Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage.
  • Containerize, deploy, and monitor agents (Docker, Kubernetes, CI / CD pipelines) with observability and drift detection.
  • Collaborate with QA, red teaming, and product leads to benchmark accuracy, safety, and compliance.

Skills Required

  • Strong in Python, PyTorch / TensorFlow, Hugging Face, and fine-tuning techniques (LoRA, RLHF).
  • Hands-on with LangChain / LangGraph, MCP, A2A orchestration, and multi-agent architectures.
  • Proficient in ETL pipelines, SQL / NoSQL, vector DBs (Pinecone, Weaviate, FAISS, Milvus).
  • Backend expertise in FastAPI / Flask / Node.js, REST / GraphQL APIs, and microservices.
  • DevOps / MLOps experience : Docker, Kubernetes, CI / CD (Jenkins / GitHub Actions), monitoring / observability.
  • Cloud experience with AWS / GCP / Azure AI services and secure integration practices.
  • Bonus : familiarity with enterprise HR / ATS systems (Workday, SAP, Paychex) and workflow automation.
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    Machine Learning Ai • tirunelveli, tamil nadu, in

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