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
Pay: ₹400,000.00 - ₹600,000.00 per year
Benefits:
- Flexible schedule
- Health insurance
- Leave encashment
- Provident Fund
Work Location: In person
