Opening For AI/ML Engineer

Varroc; Pune District; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Varroc in Pune, India, is seeking an AI/ML Engineer to design, build and deploy solutions using modern AI/ML techniques for automotive perception and decision-making tasks.

You will work on image processing, computer vision, and deep learning models (CNNs and vision transformers), optimize for edge deployment, and validate experiments with multi-sensor data.

Join a team translating research trends into scalable engineering solutions and contributing to ADAS or perception systems.

Qualifications

• 2–5 years of experience in automotive AI domains such as ADAS or perception systems.
• Strong hands-on experience in image processing, computer vision and deep learning-based vision models (CNNs, transformers).
• Familiarity with real-time video analytics and multi-camera systems.

Responsibilities

• Design, Build and deploy AI/ML solutions using modern techniques (supervised, unsupervised, CNNs, transformers).
• Perform model optimization for deployment (latency, memory, edge tuning).
• Process and analyze multi-sensor automotive data (GPS, camera, radar, time-series).
• Develop image processing algorithms for vision-based AI systems (detection, segmentation, tracking).
• Conduct experiments, benchmarking, and error analysis for iterative improvements.
• Stay updated with latest research and translate into scalable engineering solutions.

Skills

Image processing

Computer vision

Deep learning

Python

C++

Edge AI

TensorRT

Tools

PyTorch

TensorFlow

ONNX

OpenVINO

TensorRT

OpenCV

Job description

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.
• Strong 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.