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 Khushboo@Sourcebae.com or share it via WhatsApp at 8827565832

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