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Meril Life - Senior Data Scientist - NLP
Meril Life - Senior Data Scientist - NLPMERIL LIFE SCIENCES PRIVATE LIMITED • Vapi
Meril Life - Senior Data Scientist - NLP

Meril Life - Senior Data Scientist - NLP

MERIL LIFE SCIENCES PRIVATE LIMITED • Vapi
4 days ago
Job description

Description :

Were 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 Youll 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 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, 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
  • (ref : hirist.tech)

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