Sr 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.