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Sr Engineer - AI COE

Tata Communications Limited
Delhi, India
2-4 Years
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Job Description

Job Title:

Sr. Engineer (Data Scientist/ML Engineer)

Role Summary:

We are hiring a Sr. Engineer (2+ years) for the AI CoE to build and deploy Generative AI, RAG, Agentic AI, and Machine Learning solutions. This role combines LLM-driven applications with strong ML fundamentals, supporting scalable and monetizable AI products for telecom and enterprise use cases.

Key Responsibilities:

  • Build and deploy LLM-based applications, RAG, and Agentic RAG systems
  • Develop multi-agent workflows using tools like LangChain, LlamaIndex, LangGraph, Azure, and AWS Bedrock
  • Integrate MCP tools, APIs, and function-calling into AI systems
  • Design prompting strategies, embeddings, and vector search pipelines using Milvus / FAISS / Pinecone
  • Implement structured output generation for LLM responses (JSON/schema-driven outputs)
  • Apply machine learning techniques (classification, clustering, predictive modeling) for telecom and enterprise use cases
  • Perform data preprocessing, feature engineering, and model evaluation
  • Optimize solutions for performance, scalability, cost, and latency
  • Develop backend APIs using FastAPI for serving AI/ML models
  • Containerize applications using Docker for scalable deployment
  • Implement monitoring, logging, and observability using Grafana and ELK stack
  • Enable LLM traceability and observability using Langfuse etc.
  • Collaborate with product and engineering teams to deliver production-grade AI solutions

    Required Skills:

  • 2+ years of experience in Data Science / AI / Machine Learning /Gen AI
  • Excellent proficiency in Python and working knowledge of SQL (PostgreSQL preferred)
  • Hands-on experience with Machine Learning algorithms and model development
  • Strong understanding of ML concepts: supervised/unsupervised learning, feature engineering, model evaluation, bias-variance tradeoff
  • Hands-on experience with LLMs, Generative AI, RAG architectures, and Agentic workflows
  • Experience with LangChain / LlamaIndex / LangGraph / vector databases (Milvus, FAISS, Pinecone)
  • Experience building APIs using FastAPI
  • Understanding of structured output handling in LLMs
  • Solid foundation in statistics and data analysis

    Good to Have:

  • Exposure to MCP tools and LLM orchestration frameworks
  • Experience with Agentic AI / multi-agent systems
  • Cloud experience (Azure / AWS / GCP)
  • Experience with Langfuse (LLM tracing & monitoring)
  • Familiarity with Grafana, ELK stack for monitoring
  • Experience with Docker-based deployments

    Key Focus Areas:

  • Agent-based chatbots & virtual assistants
  • RAG-based knowledge systems
  • Multi-agent automation workflows (LangGraph-based)
  • ML-driven use cases (prediction, recommendation, analytics) in telecom
  • Scalable AI APIs and microservices using FastAPI

    Additional Note:

    Role involves hands-on Python coding and system design assessments, covering machine learning fundamentals, model building, RAG, LLMs, agent-based applications, LangGraph workflows, API development, and production deployment considerations (Docker, monitoring, traceability).

    • More Info

    Job Type:
    Permanent Job
    Industry:
    Telecom/ISP
    Function:
    Data Science
    Employment Type:
    Full time

    About Company

    Tata Communications Limited

    Tata Communications is a digital ecosystem enabler that powers today&#8217&#x3B;s fast-growing digital economy. We enable the digital transformation of enterprises globally, including 300 of the Fortune 500. We carry around 30% of the world&#8217&#x3B;s internet routes and connects businesses to 60% of the world&#8217&#x3B;s cloud giants.
    We have been a part of the rich heritage of the internet in India. Over the last 25 years, enterprise-enabled services have been essential to the adoption of digital services in the country. Connectivity is an essential fabric of sustenance for the economy. We are committed to enabling Industry leaders in this New World of Communications&#8482&#x3B;, with our unique promise of delivering secure connected digital experiences.
    In 2020, we announced the launch of &#8216&#x3B;Secure Connected Digital Experience&#8217&#x3B; (SCDx), a proposition intended to meet this growing, worldwide demand for new ways of operating, which includes far higher levels of working from home, rising security risks, a shift to digital commerce, and more contactless experiences. It will help companies currently relying on short-term fixes by providing holistic, secure, enterprise-level digital solutions that address current challenges and are fit for the long term.

    Job ID: 149299885

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    Last Updated: 19-06-2026 02:36:47 AM
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