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.

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.