Data Scientist

Job Description

Role: Data Scientist Location: Pune / Hybrid Role Overview : We are seeking a highly skilled AI/ML Engineer with expertise in Computer Vision, Deep Learning, backend engineering, and MLOps . The ideal candidate will be responsible for developing real-time vision pipelines, OCR systems, backend services, and deploying optimized ML models across cloud, on-premise, and edge platforms. This role focuses on core AI engineering , production deployment , and system optimization , without front-end or annotation work. Key Responsibilities Computer Vision & Deep Learning Develop, train, and optimize deep learning models using PyTorch, TensorFlow, YOLO , or similar frameworks. Build and maintain image and video processing pipelines using OpenCV and classical CV techniques. Implement and optimize OCR pipelines and text extraction systems. Perform model optimization (quantization, pruning, ONNX/TensorRT conversions) for real-time performance. Develop complete data preprocessing workflows and scalable training pipelines. Backend Engineering Develop backend services using Python (FastAPI/Flask) . Build REST APIs for ML inference, data processing, and workflow management. Integrate backend applications with databases such as MongoDB, SQL, NoSQL . Architect scalable microservices for ML and computer vision workloads. Work on logging, monitoring, and system stability for backend services. MLOps, DevOps & Deployment Containerize and orchestrate applications using Docker and Kubernetes . Implement CI/CD pipelines for automated testing, deployment, and model updates. Deploy AI/ML workloads on cloud, on-premise, and edge computing platforms . Optimize infrastructure for high throughput and low-latency ML processing. Required Skills Core Technical Competencies Expert-level Python (mandatory). Strong experience with: PyTorch / TensorFlow / YOLO OpenCV & Image Processing OCR systems Docker, Kubernetes Git, GitLab, CI/CD tools MongoDB, SQL, NoSQL databases FastAPI or Flask Linux & Bash scripting (Optional) Preferred Competencies Experience deploying ML/DL models on edge devices . Knowledge of ONNX, TensorRT, or hardware-level optimizations. Familiarity with real-time video/image streaming pipelines. Understanding of distributed systems or messaging technologies (Kafka, RabbitMQ, etc.). Qualifications Bachelor?s or Master?s degree in Computer Science, Engineering, or related field . 2?3+ years of hands-on experience in AI/ML, Computer Vision, or MLOps. Proven experience building production-grade ML systems. Soft Skills Strong analytical and debugging skills. Self-driven with the ability to own and deliver end-to-end solutions. Good communication and collaborative mindset. Passion for exploring new technologies in CV, ML, and systems architecture.