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 experienceAdvanced SQL (tuning, indexing, Snowflake / BigQuery / Redshift)Strong Python, PyTorch / TensorFlow, HuggingFaceExperience with LangChain / LlamaIndex, LoRA / QLoRA, vector DBs (Pinecone / FAISS)Linux admin, GPU cluster management, distributed trainingDocker, Kubernetes, CI / CDCloud : AWS / GCP / Azure + hybrid infrastructureWhat You Bring
Research-driven mindsetStrong debugging, analytical & problem-solving skillsAbility to work independently and own complex projectsClear communication with technical and non-technical teamsExperience moving models from research → productionUp-to-date knowledge of modern ML and NLP advancementsProgramming & ML Frameworks
Python (advanced level, production-grade code)PyTorch or TensorFlowHuggingFace Transformersscikit-learn, XGBoost, LightGBMInfrastructure & DevOps
Linux system administrationBare metal server managementGPU cluster setup and configurationCUDA / cuDNN installation and driver managementMulti-GPU distributed training setupDocker and KubernetesCI / CD pipelines for ML workflowsProduction Deployment
Model serving : TensorFlow Serving, TorchServe, FastAPI, BentoMLMLOps : MLflow, Weights & Biases, KubeflowModel monitoring and A / B testingLatency optimization and inference scalingCloud & Data Engineering
AWS, GCP, or AzureApache Spark, Airflow / PrefectUnderstanding of on-premise and cloud hybrid architecturesLeadership & Team Impact
Lead end-to-end ML initiativesDefine technical architectureMentor junior ML engineers and data scientistsSupport hiring, code quality, and documentation standardsHow to Apply
Send your resume to lisa.kapadia@nuvo.ai
Or apply directly on LinkedIn.