Senior Data Scientist

5 days ago

Bhavnagar, India Meril Full time

We're Hiring: Senior Data Scientist - NLP Company: NUVO AI (Meril Group) Location: Vapi, Gujarat Mode: On-Site Experience: 5+ Years in Data Science/ML Engineering (Minimum 3 years tenure in most recent organization in a relevant data science/ML role) Senior-level data scientist role focused on building and deploying production NLP systems on bare metal infrastructure. This position requires a research-oriented mindset with the ability to build first-in-class products by translating cutting-edge research into innovative production solutions. If you enjoy solving deep technical problems and pushing innovation-this role is for you. What You'll Work On - Build and deploy production-grade NLP systems using transformer models - Implement RAG pipelines, embeddings, semantic search - Manage and optimize bare-metal GPU servers, CUDA, and multi-GPU setups - Design and optimize large-scale SQL pipelines - Deploy and scale models via TorchServe/FastAPI/BentoML - Drive MLOps: MLflow, W&B, monitoring, automated retraining - Lead ML architecture, research-to-production pipelines, and cross-functional collaboration Required Skills - 5+ years in ML/Data Science (with 3+ years in latest role) - Proven ML production deployment experience - Advanced SQL (tuning, indexing, Snowflake/BigQuery/Redshift) - Strong Python, PyTorch/TensorFlow, HuggingFace - Experience with LangChain/LlamaIndex, LoRA/QLoRA, vector DBs (Pinecone/FAISS) - Linux admin, GPU cluster management, distributed training - Docker, Kubernetes, CI/CD - Cloud: AWS/GCP/Azure + hybrid infrastructure What You Bring - Research-driven mindset - Strong debugging, analytical & problem-solving skills - Ability to work independently and own complex projects - Clear communication with technical and non-technical teams - Experience moving models from research production - Up-to-date knowledge of modern ML and NLP advancements Programming & ML Frameworks - Python (advanced level, production-grade code) - PyTorch or TensorFlow - HuggingFace Transformers - scikit-learn, XGBoost, LightGBM Infrastructure & DevOps - Linux system administration - Bare metal server management - GPU cluster setup and configuration - CUDA/cuDNN installation and driver management - Multi-GPU distributed training setup - Docker and Kubernetes - CI/CD pipelines for ML workflows Production Deployment - Model serving: TensorFlow Serving, TorchServe, FastAPI, BentoML - MLOps: MLflow, Weights & Biases, Kubeflow - Model monitoring and A/B testing - Latency optimization and inference scaling Cloud & Data Engineering - AWS, GCP, or Azure - Apache Spark, Airflow/Prefect - Understanding of on-premise and cloud hybrid architectures Leadership & Team Impact - Lead end-to-end ML initiatives - Define technical architecture - Mentor junior ML engineers and data scientists - Support hiring, code quality, and documentation standards How to Apply Send your resume to Or apply directly on LinkedIn.

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