Senior Computer Vision / AI Engineer

Job Title

Senior Computer Vision / AI Engineer

Location

Vadodara, GJ

Experience

5+ years of relevant experience

Role Summary

We are seeking a highly experienced engineer to lead the design, development and deployment of advanced computer-vision and AI systems. The role will require hands‐on algorithm work, productionising models, mentoring teams, and collaborating closely with cross-functional stakeholders.

Key Responsibilities

• Lead the end‐to‐end computer vision pipeline: data collection & annotation → model design/training → deployment (edge or cloud) → monitoring & maintenance.
• Develop and optimise deep learning and classical computer vision algorithms for tasks such as object detection, segmentation, tracking, OCR, pose estimation, sensor fusion, 3D vision.
• Integrate vision/AI modules into software systems and hardware (e.g., embedded/edge devices, multi‐camera rigs).
• Collaborate with product, hardware and software teams to translate business/technical requirements into vision‐AI solutions.
• Optimise model inference: latency, throughput, memory/compute footprint, edge‐deployment constraints.
• Stay current with state‐of‐the‐art in computer vision and AI, evaluate new techniques and adapt them into products.

Required Qualifications & Skills

• Bachelor’s or preferably Master’s/PhD in Computer Science, Electrical Engineering, Computer Vision, AI or related STEM discipline.
• Typically 5+ years of relevant experience in computer vision / deep learning / AI in production settings.
• Proficiency in programming (Python mandatory; C++/Java or equivalent desirable).
• Strong experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and computer vision libraries (OpenCV, etc.).
• Solid mathematical foundations: linear algebra, probability, optimisation, signal/image processing.
• Experience deploying models to production: cloud (AWS/GCP/Azure) or edge/embedded environments.
• Ability to collaborate across functions, communicate effectively, and lead technical discussions.

Nice-to-Have

• Experience in sensor fusion, multi‐camera systems, 3D vision, LiDAR/depth data.
• Experience with real-time video analytics, streaming inference, model quantisation/acceleration (e.g., TensorRT, ONNX, OpenVINO).
• Experience with edge devices (Jetson, Coral, FPGA) or embedded image processing pipelines.
• Publications or strong portfolio of vision/AI work, participation in open source or research community.

Why Join Us?

• Large scale data, real products and deployments (not just prototypes).
• Growth into leadership (Architect, Head of Vision, etc) as your solutions scale.