Data Scientist

3 days ago

Chennai, Tamil Nadu, India beBeeMachineLearning Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Data Science Expert Role

Our organization is seeking an experienced and skilled data scientist to contribute to the development of advanced machine learning models.

Key responsibilities include:

  • Design, develop, and deploy state-of-the-art machine learning models for GenAI and Agentic AI applications.
  • Lead the end-to-end development of AI/ML solutions, from experimental design and prototyping to production deployment, ensuring high performance and efficiency.
  • Architect and implement core engineering components essential for GenAI applications, such as Vector Databases, caching layers, chunking mechanisms, and embedding strategies.
  • Apply a wide range of machine learning techniques (clustering, decision trees, bagging/boosting, neural networks, etc.) and evaluate their applicability in real-world scenarios, providing insights for improvement.
  • Provide technical leadership and mentorship to junior data scientists, fostering a culture of innovation and continuous learning, and promoting knowledge sharing and collaboration.
  • Closely collaborate with Product, Engineering, and other cross-functional teams to align AI initiatives with business objectives, ensuring effective communication and project success.
  • Maintain a strong focus on code quality, performance optimization, and reproducibility of AI models, adhering to industry standards and best practices.
  • Effectively communicate complex technical concepts to both technical and non-technical stakeholders, facilitating informed decision-making and strategic planning.

The ideal candidate will possess:

  • A PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied Mathematics, or related fields.
  • 7+ years of hands-on ML modeling/development experience, with expertise in creating GenAI and Agentic AI applications.
  • Experience in designing and implementing Vector DBs, caching layers, chunking mechanisms, and embedding strategies.
  • Knowledge of various machine learning techniques, including clustering, decision trees, bagging/boosting, artificial neural networks, and their advantages/disadvantages in real-world scenarios.
  • Demonstrated track records in experimental design and execution, with excellent analytical and problem-solving abilities.
  • Strong skills in Python, PyTorch, Langchain, and LangGraph, with a solid background in algorithms and multiple ML models.
  • Excellent communication skills and ability to work collaboratively with cross-functional teams, including Product, Engineering, and other disciplines, at both leadership and hands-on levels.
  • Superb attention to detail and proven leadership in providing technical guidance and mentoring to data scientists, with strong management skills and ability to monitor/track performance for enterprise success.

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