We're 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.

📌 Senior Data Scientist (Machine Learning & AI) - CB (India)
🏢 IAssess Consultants
📍 India