NPCI - Senior Data Scientist - AI/ML Engineering in Bombay, भारत

Senior Data Scientist - AI/ML SystemsJob Location : Hyderabad / MumbaiRole : Senior Data Science / AI-ML EngineeringExperience : As per role requirementsAbout the Role : We are looking for a Senior Data Science professional with strong hands-on expertise and leadership capabilities to build, deploy, and scale production-grade AI/ML systems in complex https://jobeax.com/link/m7FLZdCihDPQzn7w ideal candidate will have a strong foundation in machine learning, deep learning, and statistics, combined with expertise in large-scale data systems, ML infrastructure, GPU computing, and distributed system design. The role involves delivering end-to-end AI systems, from data engineering and feature design to model deployment, scaling, monitoring, and https://jobeax.com/link/wFh2AeAlDzguZE1T Responsibilities : - Design, develop, and deploy scalable machine learning and deep learning solutions for production environments.- Build end-to-end AI/ML pipelines covering data engineering, feature development, model training, deployment, and monitoring.- Implement CI/CD practices for ML systems to enable reliable, repeatable model deployment and lifecycle management.- Work with large-scale data platforms and Big Data technologies to support data-intensive AI/ML workloads.- Develop and optimise ML workloads using Python, TensorFlow, and PyTorch.- Design and implement scalable infrastructure using Docker, Kubernetes, and related technologies.- Work with MinIO, Trino, and feature store architectures to support data access and feature management.- Leverage GPU computing, CUDA, and the NVIDIA technology stack to optimise model training and inference.- Apply strong SQL skills to data extraction, transformation, analysis, and feature engineering.- Contribute to federated AI architecture and distributed AI/ML system design.- Design systems with a focus on latency, scalability, reliability, and observability.- Explore and integrate relevant capabilities involving Large Language Models (LLMs) and Agentic AI systems.- Provide technical leadership and collaborate with data engineering, platform engineering, and other cross-functional https://jobeax.com/link/b98mNqN2dpm2gqBN Technical Skills : - Machine Learning, Deep Learning, and Statistics- Python- TensorFlow and PyTorch- Large-scale data systems and Big Data technologies- CI/CD for ML systems / MLOps- Docker and Kubernetes- MinIO and Trino- Feature Store Architecture- GPU Computing, CUDA, and NVIDIA Stack- Strong SQL- Federated AI Architecture- System Design : Latency, Scalability, and ObservabilityPreferred / Additional Skills : - Large Language Models (LLMs)- Agentic AI Systems- Production-grade AI/ML platform development- End-to-end model deployment, scaling, and monitoring- Technical leadership in complex AI/ML environmentsIdeal Candidate Profile : The ideal candidate combines strong hands-on data science and machine learning expertise with the ability to design and scale production-grade AI systems. They should understand the complete ML lifecycle and be comfortable working across data engineering, model development, infrastructure, deployment, and https://jobeax.com/link/aPv0144QrNtE2oYF with experience in GPU-accelerated workloads, distributed AI architectures, feature stores, and scalable ML infrastructure will be particularly relevant. (ref:hirist.tech)