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Agivant Technologies - Senior/Lead Data Scientist
Agivant Technologies - Senior/Lead Data ScientistAgivant Technologies • Pune, India
Agivant Technologies - Senior / Lead Data Scientist

Agivant Technologies - Senior / Lead Data Scientist

Agivant Technologies • Pune, India
7 days ago
Job description

Description :

  • We are seeking a Senior / Lead Data Scientist with deep expertise in Data Science, Machine Learning, and Deep Learning to drive innovation and build advanced AI / GenAI / Agentic AI based solutions.
  • This role involves leading high-impact projects, mentoring teams, and shaping the AI / ML strategy, including contributions to Generative AI applications.
  • The ideal candidate is both a hands-on technical expert and a thought leader who can bridge the gap between complex AI research and real-world business applications.

Key - Lead the design, development, and deployment of end-to-end ML / AI models for solving complex business problems.

  • Drive deep learning model development (CNNs, RNNs, Transformers, etc.) for diverse domains such as NLP, vision, and multimodal applications.
  • Experience in Machine Learning, Deep Learning, Python, Tensorflow, Pytorch, Scikit-learn, Time-Series forecasting, MLOps.
  • Collaborate with cross-functional teams including data engineering, product management, and business stakeholders to translate needs into scalable ML solutions.
  • Mentor junior data scientists and contribute to building best practices, reusable frameworks, and a culture of innovation.
  • Stay ahead of emerging ML research and proactively evaluate new Qualifications :
  • Bachelor or Master Degree in Computer Science, Data Science, or related field.
  • 5-8 years of hands-on experience in Data Science, ML, and Deep Learning.
  • Strong expertise in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Solid foundation in mathematics, statistics, optimization, and probability theory.
  • Proven track record of building and deploying production ML models at scale.
  • Experience with cloud platforms (GCP, AWS, or Azure) for ML workflows.
  • Strong problem-solving, leadership, and communication skills.
  • Good-to-Have Skills :

  • Knowledge of LLM internals and architectures (transformers, attention mechanisms).
  • Experience with GenAI ecosystems (LangChain, LlamaIndex, vector databases, RAG pipelines).
  • Experience with prompt engineering.
  • Exposure to MLOps practices model monitoring, CI / CD for ML, experiment tracking.
  • Understanding of responsible practices bias detection, explainability, and governance.
  • Desired Skills and Experience : Data Science, ML Python Pytorch

    (ref : iimjobs.com)

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