Data Scientist - Classical ML, SHAP & GenAI/RAG Pipelines (Remote)

Experience: 2-7 years of experience.

Job Title: Data Scientist Classical ML, SHAP & GenAI / RAG Pipelines (100% Remote) Role Category: Data Science & Analytics / Machine Learning Employment Type: Full Time, Permanent Work Location: 100% Fully Remote Job Description Are you a hands-on Data Scientist with strong roots in Classical Machine Learning , Model Explainability (SHAP) , and modern LLM / RAG pipeline development ? At V4C.ai , a high-growth, Databricks-funded partner company scaled to 600+ professionals , we are expanding our core Data Science and AI practices. We are looking for a Data Scientist who brings strong mathematical/statistical rigor in classical ML, clear expertise in model interpretability (SHAP/XAI), and practical exposure to generative AI workflows (LLMs, RAG). Key Responsibilities Core & Classical ML: Design, train, evaluate, and deploy classical machine learning models (Regression, Classification, Tree-based algorithms, Clustering) for complex enterprise problems. Model Explainability (XAI): Leverage SHAP (Shapley Additive exPlanations) , LIME, or feature importance frameworks to interpret complex model predictions and communicate insights to stakeholders. LLM & RAG Pipelines: Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases, embedding models, and LLM frameworks (LangChain / LlamaIndex). Data Engineering & Pipelines: Write robust, production-grade Python and SQL code to handle feature engineering, data extraction, and data preparation. Collaboration & Innovation: Partner with enterprise clients and internal engineering teams to deliver scalable, AI-driven solutions across Databricks and cloud ecosystems. Required Skills & Qualifications Experience Level: 2 to 10 years of hands-on data science engineering experience (roles open from Junior/Mid-level up to Senior Data Scientist). Core Technical Stack: Strong proficiency in Python (NumPy, Pandas, Scikit-Learn, PyTorch/TensorFlow) and SQL . Classical Data Science: Solid foundation in machine learning algorithms, statistical modeling, hypothesis testing, and model evaluation metrics. Model Interpretability: Hands-on experience implementing SHAP for model explainability and auditing. GenAI / LLM Capabilities: Practical experience or strong understanding of LLMs, RAG architecture, vector stores (e.g., Pinecone, Chroma, FAISS), and prompt engineering. Why Join V4C.ai? 100% Remote Work Setup: Complete flexibility to work from anywhere. Databricks-Funded Scale: Work with a fast-growing partner firm backed directly by Databricks, operating at the bleeding edge of enterprise AI. Cutting-Edge Tech Stack: Balance core classical ML models with next-gen Claude, LLM, and Lakehouse AI architectures. How to Apply / Reach Out Directly If you meet the technical bar and are ready to work on enterprise-grade AI & Data Science solutions, reach out directly: Email: Send your resume to Ganesh@v4c.ai and mention subject as "Data Scientist naukri" LinkedIn: Connect and message directly at Ganesh Manoharan on LinkedIn

Key skills: Data Science, Python, SQL, generative ai, Machine Learning.

Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education: UG: Any Graduate