Core Responsibilities

- Design, develop, and deploy computer vision models for tasks such as object detection, segmentation, tracking, classification, and image/video analysis

- Own the full ML pipeline: data collection and labeling strategy, model training, evaluation, and production deployment

- Optimize models for performance, latency, and efficiency on target hardware (cloud, edge, or embedded devices)

- Collaborate with cross-functional teams to translate business requirements into technical solutions

- Build and maintain robust data pipelines and MLOps infrastructure for training and inference

- Debug and improve model performance through rigorous experimentation and error analysis

Role-Specific Knowledge

- 5+ years of hands-on experience building and deploying computer vision systems in production

- Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or similar)

- Solid understanding of core CV techniques: CNNs, object detection (YOLO, Faster R-CNN, etc.), segmentation, image processing fundamentals

- Experience with model optimization and deployment (ONNX, TensorRT, quantization, edge deployment, or cloud inference services)

- Familiarity with MLOps tools and practices (experiment tracking, CI/CD for ML, model versioning)

- Robust software engineering fundamentals - clean code,



version control, testing

- Excellent problem-solving skills and ability to work independently in a fast-paced environment

Preferred Qualifications

- Must have experience in any one of the domains and deployment areas mentioned below.

- Domain experience: Robotics, Healthcare, autonomous vehicles, retail/Manufacturing automation.

- Deployment experience: Edge devices (NVIDIA Jetson), Cloud Platforms (AWS, GCP, Azure), or hybrid edge cloud setups.

- Background in generative vision models (diffusion models, GANs) or vision-language models

- Publications or contributions to open-source CV/ML projects

- Experience with real-time video processing systems

- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

Key Competencies

- Analytical and problem-solving skills.

- Innovation and research mindset.

- Strong communication and collaboration skills.

- Attention to detail.

- Ownership and accountability.

- Ability to mentor and guide technical teams.

What We Offer

- Competitive salary and equity

- Collaborative, growth-oriented team culture

- Challenging AI Projects

Experience

- 5+ years

Apply

- Send your details to [email protected]

📌 Computer Vision Engineer (Coimbatore)
🏢 Stepping EDGE
📍 Coimbatore