Role: Data Scientist (Deep Learning Engineer/ Machine Learning Engineer)
Location: Pune
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.
- 12+ 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.
