Key Responsibilities:

- Design and develop computer vision pipelines for object detection, segmentation, and multi-object tracking.

- Build and optimize deep learning models for real-time inference.

- Develop data annotation, validation, and dataset management pipelines.

- Perform model optimization, hyperparameter tuning, and performance benchmarking.

- Deploy AI models on embedded platforms such as NVIDIA Jetson.

- Optimize inference using TensorRT, CUDA, and mixed-precision techniques.

- Debug and improve perception pipelines for accuracy, latency, and reliability.

- Collaborate with software, robotics, and system integration teams.

Skillset:

- 3-5 years of experience in Computer Vision and Machine Learning.

- Strong knowledge of Python and/or C++.

- Hands-on experience with PyTorch or TensorFlow.

- Robust understanding of OpenCV, image processing, and deep learning.

- Experience with object detection, image segmentation, and tracking algorithms.

- Familiarity with CNNs,



Vision Transformers, and model optimization techniques.

- Experience with NVIDIA Jetson, TensorRT, CUDA, or similar embedded AI frameworks.

- Understanding of stereo vision, depth estimation, and real-time AI deployment is an advantage.

Qualifications

- Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.

- Experience developing production-grade AI solutions for real-world applications.

- Strong debugging, analytical, and problem-solving skills.

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Computer Vision / Machine Learning Engineer (Pune)
🏢 Patterns7
📍 Pune