Key Responsibilities

- Design, Build and deploy solutions using modern AI/ML techniques, including supervised, unsupervised, deep learning, self-supervised, and representation learning approaches.
- Perform model optimization for deployment, including latency reduction, memory optimization, and hardware-aware tuning for embedded and edge AI environments.
- Process and analyze multi-sensor automotive data such as GPS, camera,radar and time-series signals for perception and decision-making tasks.
- Develop image processing algorithms for vision-based AI systems, involving development of models for detection, classification, segmentation and tracking.
- Conduct experimentation, benchmarking, error analysis, and iterative model improvements.
- Stay updated with latest research trends and translate them into scalable engineering solutions.

Preferred Qualifications & Experience

- Experience 2 to 5 Yrs




- Experience in automotive AI domains such as ADAS, autonomous systems, driver monitoring, or perception systems.
- Robust hands-on experience in image processing, computer vision, and deep learning-based vision models (e.g., CNNs, Transformers for vision, segmentation/detection architectures).
- Familiarity with real-time video analytics and multi-camera systems.
- Knowledge of AI model optimization techniques such as quantization, pruning, distillation, and graph optimization.
- Experience with edge AI platforms and deployment toolchains such as TensorRT, ONNX, OpenVINO, or equivalent.
- Familiarity with sensor fusion techniques and multi-modal learning approaches.

Experience working with Python and C++, and AI frameworks such as PyTorch or TensorFlow.

📌 Opening For AI/ML Engineer (Pune)
🏢 Varroc
📍 Pune