AI/ML Engineer

10 years

0 Lacs

Posted:8 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We’re hiring Senior AI/ML Engineers to build next-generation Generative & Agentic AI solutions at scale.

LLMs, RAG architectures, MLOps, and cloud-native AI systems


🔍 Role: AI / ML Engineer ( Permanent/Fixed Hiring )

📍 Location: Chennai (preferred)

🧠 Experience: 8–10 years

👥 Openings: Multiple (40 positions)

💵 Salary - Decent Hike on Last CTC



🚀 What You’ll Do

  • Design, build, and deploy

    AI/ML models

    for regression, classification, forecasting, and deep learning use cases
  • Develop

    Generative AI solutions

    including:
  • Prompt engineering
  • LLM fine-tuning (PEFT, LoRA)
  • RAG-based architectures using vector databases
  • Build

    agentic AI workflows

    using frameworks like LangChain, LlamaIndex, LangGraph, Autogen
  • Deploy AI applications using

    FastAPI, Streamlit, Gradio

  • Implement and manage

    MLOps pipelines

    for CI/CD, monitoring, and scalable deployments
  • Work with

    cloud AI platforms

    (AWS SageMaker, Azure AI, GCP Vertex AI)
  • Collaborate with cross-functional teams to deliver enterprise-grade AI solutions


🛠️ Must-Have Skills

  • Strong programming experience in

    Python & SQL

  • Hands-on AI/ML development using

    TensorFlow, PyTorch, Scikit-learn

  • Practical experience with

    Generative AI & LLMs

    (GPT, LLaMA, Gemini, Claude)
  • RAG implementations using

    FAISS, ChromaDB, PGVector

  • MLOps tools:

    MLflow, Kubeflow, Docker, Kubernetes

  • Cloud deployment experience (AWS / Azure / GCP)


⭐ Good to Have

  • Experience in

    Retail / CPG / Consumer Business

    domains
  • Knowledge Graphs (Neo4j, GraphQL)
  • GIS or spatial analytics exposure
  • AI/ML certifications
  • Strong understanding of

    Responsible & Ethical AI


🌟 Why Join Us

  • Work on

    cutting-edge GenAI and IP-led solutions

  • High visibility roles impacting

    global client engagements

  • Exposure to

    large-scale, real-world AI deployments

  • Continuous learning, innovation, and leadership growth
  • Collaborative environment with top AI talent

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