Key Responsibilities
Design, Build and deploy solutions using contemporary 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 settings.
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.
Solid 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