Lead Data Scientist

5 days ago

Mumbai, India Sourcebae Full time

Job Description: Lead Data Scientist – AI DivisionLocations: Mumbai, Maharashtra, IndiaSkill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLMExperience: 5 to 7 YearsResponsibilities:Provide data science and AI expertise to design, build, and deliver scalable ML and deeplearning solutions.Work extensively with tabular data to develop predictive models, perform featureengineering, 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, includingtext and audio.Lead development of solutions for audio data, including classification, recognition, andsignal processing tasks.Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (SmallLanguage Models), and other Generative AI solutions for diverse businessapplications.Translate business problems into well-structured ML/AI problems and deliver actionableinsights.Deploy production-grade models with a focus on efficiency, scalability, andmaintainability.Collaborate with cross-functional teams including product managers, engineers, anddomain 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 ofexperience in Data Science/ML/AI.Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or aglobally top-ranked university (as per QS).Technical:Proven expertise working with large-scale tabular data and building machine learningmodels.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 theintersection of GenAI and enterprise AI adoption.If Intrested. Please submit your CV to or share it via WhatsApp at Stay updated with our latest job opportunities and company news by following us on LinkedIn: :

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