Lead/Senior Data Scientist (Agentic AI)
Gurgaon/Bangalore
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Srijan Technologies
Your trusted Drupal partner Srijan (now as Material) continues to help brands drive digital transformation through data, AI, Cloud and platform engineering.Location: Gurgaon/Bangalore,None,None
Senior Developer/ Lead - Data Science
Material+ is hiring for Lead Data Science, We are looking for Senior Developer/ Lead - Data Scientist with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit‑learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise.
Bonus: familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS
Immediate Joiner Required
Minimum Experience: 4+ years in Senior Developer/ Lead - Data Scientist
Preferred Location: - Gurgaon/ Bangalore
Job Description: -
Generative AI: GenAI models (Eg.: Azure OpenAI GPT), Multi-Agent System Architecture:
- Proficiency in Python and AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with LangChain, AutoGen, or similar frameworks for multi-agent systems.
- Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation.
Nice to have:
- Familiarity with Big Data tools (e.g., Spark, Hadoop) / Databricks and databases (e.g., SQL, NoSQL).
- Expertise in ReactJS for building responsive and interactive user interfaces.
What We Offer
- Professional Development and Mentorship.
- Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
- Health and Family Insurance.
- 40+ Leaves per year along with maternity & paternity leaves.
- Wellness, meditation and Counselling sessions
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Azure Big Data Databricks Engineering Feature engineering Generative AI GPT Hadoop LangChain Machine Learning NoSQL OpenAI Python PyTorch Scikit-learn Spark SQL TensorFlow
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