Lead Data Scientist

Job Description : Lead Data Scientist – AI Division

Locations : Mumbai, Maharashtra, India

Skill Set : Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM

Experience : 5 to 7 Years

Responsibilities :

 Provide data science and AI expertise to design, build, and deliver scalable ML and deep

learning solutions.

 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., regression, classification,

ensemble methods) alongside advanced deep learning methods.

 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

signal processing tasks.

 Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small

Language Models), and other Generative AI solutions for diverse business

applications.

 Translate business problems into well-structured ML / AI problems and deliver actionable

insights.

 Deploy production-grade models with a focus on efficiency, scalability, and

maintainability.

 Collaborate with cross-functional teams including product managers, engineers, and

domain experts to deliver high-impact projects.

 Mentor junior data scientists and interns, fostering innovation and best practices.

Qualification Requirements :

Educational :

 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.

 Preferred to have degree from a Tier-1 / 2 institute (IIT / IISc / NITs if studied in India) or a

globally top-ranked university (as per QS).

Technical :

 Proven expertise working with large-scale tabular data and building machine learning

models.

 Strong knowledge of conventional ML algorithms (tree-based models, SVMs,

clustering, etc.).

 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.

Other :

 Excellent written and verbal communication skills in English.

 Demonstrated experience working collaboratively in cross-functional teams.

 Ability to balance research and production priorities while meeting deadlines.

 Passionate about applying AI / ML to solve diverse real-world problems, especially at the

intersection of GenAI and enterprise AI adoption.

If Intrested. Please submit your CV to or share it via WhatsApp at

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