Senior Data Scientist (Machine Learning & AI) - CB

Were Hiring for Senior Data Scientist (Machine Learning & AI) for MNC Company
Department: Data & Analytics / AI Labs
Employment Type: Full-time
Location: India ( Remote )
Experience: 6 – 10 Years
Compensation: INR 41 LPA – 58 LPA
Position Overview
We are looking for a high-impact Senior Data Scientist to lead the development and deployment of enterprise-grade Machine Learning, Deep Learning, and Generative AI solutions. In this role, you will bridge the gap between complex research and production-grade software delivery—architecting scalable algorithms, fine-tuning large language models (LLMs), and driving business intelligence across critical products.
Key Responsibilities

• Model Design & Development: Architect, train, and validate complex Machine Learning, Deep Learning, and Generative AI/LLM models to solve core business problems.
• Production Deployment: Package and deploy models into highly available, low-latency production environments using FastAPI/Flask, Docker, and Kubernetes.
• Generative AI & LLMs: Implement Retrieval-Augmented Generation (RAG) architectures, fine-tune open-source models (Hugging Face, Llama), and optimize prompt engineering pipelines.
• MLOps & Pipeline Automation: Establish automated CI/CD pipelines for ML models, including tracking, drift detection, feature store management, and model monitoring (MLflow, SageMaker, Vertex AI).
• Cross-Functional Leadership: Collaborate with Data Engineers, Product Managers, and Cloud Architects to turn raw data into scalable analytics solutions.
  

Target Educational Qualifications & Alma Mater Mandate

• Degree: B.Tech / B.E. / M.Tech / Dual Degree in Computer Science, Data Science, AI, Electrical/Electronics Engineering, or related quantitative disciplines.
• Target Institutes: Candidates graduating from premier institutions listed in the Top Engineering Colleges in India grid, including:
  

Required Technical Skills

• Programming Languages: Python, Advanced SQL.
• Frameworks: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, LangChain, Hugging Face.
• MLOps & Cloud: AWS SageMaker or GCP Vertex AI, Docker, Kubernetes, MLflow.
  

Genuinely interested candidates meeting the above target college and technical criteria can share their updated CV.
Skills: rest apis,data science,sagemaker,fastapi,machine learning,pytorch,ai,client fulfillment,tensorflow,vertex ai,ml,llmops,rag architecture,software engineering,mlops