Python and AI ML Lead

Tata Elxsi

Chennai, Bengaluru

On-site

INR 3,500,000 - 7,000,000

Full time

3 days ago
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Job summary

Tata Elxsi, Inc. in Chennai is seeking an AI/ML Lead with strong hands-on experience in data science, ML, and Generative AI to build scalable AI solutions and drive end-to-end model development from design to production.

The role involves leading ML initiatives, mentoring a team of at least ten, owning MLOps pipelines, and collaborating with stakeholders to translate business problems into AI solutions. Experience with LangChain, LlamaIndex, and cloud deployments is valued.

Qualifications

  • Experience in building scalable AI/ML solutions from design to production.
  • Strong hands-on expertise in data science, ML, and Generative AI.
  • Leadership experience with large teams and stakeholder communication.

Responsibilities

  • Lead development and deployment of ML and Generative AI solutions 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.
  • Translate business problems into AI solutions with stakeholders.
  • Mentor and guide a team of at least 10 people.
  • Oversee design level decisions and code reviews.

Skills

Machine Learning
Deep Learning
Generative AI
Python
NLP
Computer Vision
MLOps
Cloud

Tools

LangChain
LangGraph
LlamaIndex
RAG
Hugging Face
Vertex AI
Kubeflow
Docker
Airflow
SQL
FastAPI
Streamlit
Matplotlib
Seaborn
Plotly

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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