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Senior Data Scientist - Artificial Intelligence / LLM

Senior Data Scientist - Artificial Intelligence / LLM

Impetus Career Consultants Private LimitedChennai
30+ days ago
Job description

Data Scientist (AI & LLM)

Experience : 8 to 11 years

Shift : 12-9 PM : Chennai

Work Mode : Office

  • 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 field.
  • 7+ years of hands-on ML modeling / development experience.
  • Experience in creating GenAI and Agentic AI applications.
  • Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging / boosting artificial neural networks, etc.) and their real-world advantages / drawbacks..
  • Demonstrated track records in experimental design and executions.
  • Strong skills in Python, PyTorch, Langchain, LangGraph etc. Solid background in algorithms and a range of ML models.
  • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level.
  • Excellent analytical and problem-solving abilities with superb attention to detail.
  • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor / track performance for enterprise success.

Key Responsibilities :

  • Design, develop, and deploy advanced machine learning models, including GenAI and Agentic AI applications.
  • Lead the end-to-end development of AI / ML solutions, from experimental design and prototyping to production deployment.
  • 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.
  • Provide technical leadership and mentorship to junior data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate closely with Product, Engineering, and other cross-functional teams to align AI initiatives with business goals.
  • Maintain a strong focus on code quality, performance optimization, and reproducibility of AI models.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • (ref : hirist.tech)

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