Python and AI ML Lead

Tata Elxsi

Chennai District

On-site

INR 4,000,000 - 6,000,000

Full time

14 days+

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Job summary

Tata Elxsi in India is seeking an AI / Machine Learning Lead with strong hands-on data science, ML and Generative AI to build scalable AI solutions and lead end-to-end model development from design to production.

You will mentor a team of at least 10, own MLOps pipelines, model monitoring and cloud deployments, and translate business problems into AI outcomes while setting design directions.

Qualifications

  • Hands-on experience in data science, ML and Generative AI.
  • Proven ability to lead ML initiatives and developers.
  • Strong Python skills and experience with ML frameworks.
  • Familiarity with cloud deployments and MLOps practices.

Responsibilities

  • Lead development and deployment of ML and Generative AI solutions along with Python.
  • Design and implement forecasting, predictive, and deep learning models.
  • Build RAG and Agentic AI applications using LLM frameworks.
  • Own MLOps pipelines, model monitoring, and cloud deployments.
  • Work closely with stakeholders to translate business problems into AI solutions.
  • Mentor and guide team of at least 10 people.
  • Responsible for the Design level decisions, Code Review and team handling is a must.
  • Awareness of AI-DLC driven development.

Skills

ML & DL
Generative AI
Python & NLP
Computer Vision
MLOps & Cloud
Data & APIs
Visualization

Tools

GCP
Vertex AI
Kubeflow
Docker
Airflow

Job description

Role Summary

We are looking for an AI / Machine Learning Lead with strong hands-on experience in data science, machine learning, and Generative AI. The role involves building scalable AI solutions, leading ML initiatives, and driving endtoend model development from design to production.


Key Responsibilities


  • Lead development and deployment of ML and Generative AI solutions along with Python

  • Design and implement forecasting, predictive, and deep learning models

  • Build RAG and Agentic AI applications using LLM frameworks

  • Own MLOps pipelines, model monitoring, and cloud deployments

  • Work closely with stakeholders to translate business problems into AI solutions

  • Mentor and guide team of atleast 10 people

  • Responsible for the Design level decisions, Code Review and team handling is a must

  • Awareness of AI-DLC driven development


Required Skills


  • Machine Learning & Deep Learning: LSTM, GRU, Transformers, XGBoost, Random Forest, SARIMA, Prophet

  • Generative AI: LangChain, LangGraph, LlamaIndex, RAG, Hugging Face, Agentic AI

  • Programming & NLP: Python, Pandas, NumPy, NLTK, SpaCy

  • Computer Vision: CNNs, UNet, Vision Transformers

  • MLOps & Cloud: GCP, Vertex AI, Kubeflow, Docker, Airflow

  • Data & APIs: SQL, FastAPI, Streamlit

  • Visualization: Matplotlib, Seaborn, Plotly


Nice to Have


  • Experience with demand forecasting and time series

  • Background in enterprise or consulting environments

  • Strong leadership and communication skills

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