Job Code: CoE-SAI-CV-M-002
Experience: 5 - 7 Years
Location: One-Hub, Thiruporur
No of Openings: 1
Date of Post: 03-Apr-2026
Applicants: 1
Preferred Experience 5–7 years of experience in computer vision and AI/ML engineering
Strong knowledge of deep learning algorithms, real-time systems, and edge deployment workflows
Experience with multi-object detection, tracking, and situational awareness systems
Exposure to UAV autonomy, EO/IR data processing, and precision landing algorithms
Innovation: Exposure to reinforcement learning, SLAM, and sensor fusion for UAV autonomy
Compliance Awareness: Familiarity with aerospace/autonomy certification frameworks (DO-178C, DO-254, DGCA UAS guidelines)
Leadership: Ability to mentor junior engineers and lead computer vision design reviews
Reliability Engineering: Experience in robustness testing, fault tolerance, and redundancy strategies
Required Skill Sets & Tools
* ML Frameworks: PyTorch, TensorFlow
* Optimization Tools: TensorRT, CUDA
* Middleware: ROS / ROS 2
* Video/Data Pipelines: GStreamer
* Strong debugging, profiling, and documentation skills
Qualifications Bachelor’s / Master’s in Computer Science / AI / Robotics
Key Responsibility Areas
* Deep Learning & Optimization
* Develop and optimize deep learning models (quantization, pruning)
* Accelerate inference using TensorRT and CUDA
* Detection & Tracking
* Implement multi-object detection (YOLO-based models)
* Develop tracking algorithms (DeepSORT) and classification pipelines
* Vision & Navigation Algorithms
* Implement visual odometry and precision landing algorithms
* Work with EO/IR data for robust perception and situational awareness
* Video & Data Pipeline
* Optimize real-time video streaming pipelines using GStreamer
* Generate synthetic datasets for training and validation
* Edge Deployment
* Deploy models on edge hardware (Jetson or equivalent)
* Perform profiling and optimization for real-time performance
Deep-tech Work India