Machine Learning Engineer (Computer Vision) | Bengaluru

Join our team to build next-generation AI-powered perception systems for autonomous robotics operating in challenging real-world environments. You will design, develop, and optimize computer vision and machine learning solutions for real-time deployment on embedded platforms.

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

35 years of experience in Computer Vision and Machine Learning.

Strong knowledge of Python and/or C++.

Hands-on experience with PyTorch or TensorFlow.

Strong 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

Bachelors or Masters 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.

If this role is found exciting to you, email your CV to hidden_email .