Lead Data Scientist

4 days ago

Mumbai, India Sourcebae Full time
Job Description: Lead Data Scientist – AI Division Locations: Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM
Experience: 5 to 7 Years
Provide data science and AI expertise to design, build, and deliver scalable ML and deep
Work extensively with tabular data to develop predictive models, perform feature
engineering, and optimize performance for real-world applications.
 Apply conventional machine learning techniques (e.g., Build and optimize deep learning models for structured and unstructured data, including
text and audio.
 Lead development of solutions for audio data, including classification, recognition, and
Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small
Language Models), and other Generative AI solutions for diverse business
Translate business problems into well-structured ML/AI problems and deliver actionable
domain experts to deliver high-impact projects.
 Mentor junior data scientists and interns, fostering innovation and best practices.

Bachelor’s degree with at least 7 years of experience or Master’s with at least 4 years of
experience in Data Science/ML/AI.
 Proven expertise working with large-scale tabular data and building machine learning
Strong knowledge of conventional ML algorithms (tree-based models, SVMs,
Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
 Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,
prompt engineering, and deployment.
 Proficiency in Python and libraries such as scikit-learn, pandas, NumPy.
 Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,
FastAPI, etc.).
 Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
 Experience with Databricks is a plus.
 Strong understanding of MLOps practices, reproducibility, and model monitoring.
Excellent written and verbal communication skills in English.
 Demonstrated experience working collaboratively in cross-functional teams.
 Passionate about applying AI/ML to solve diverse real-world problems, especially at the
intersection of GenAI and enterprise AI adoption.

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