Job Title
Senior Computer Vision / AI Engineer
Location
Vadodara, GJ
Experience
2-3 years of relevant experience
Salary
Depends on the interview
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 handson algorithm work, productionising models, mentoring teams, and collaborating closely with cross-functional stakeholders.
Key Responsibilities
- Lead the endtoend 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, multicamera rigs).
- Collaborate with product, hardware and software teams to translate business/technical requirements into visionAI solutions.
- Optimise model inference: latency, throughput, memory/compute footprint, edgedeployment constraints.
- Stay current with stateoftheart 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, multicamera 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.
