AI Engineer - Computer Vision

AI Engineer - Computer Vision

Location: Bengaluru

Who We Are & Why Join Us

Avathon is revolutionizing industrial AI with a powerful platform that enables businesses to harness the full potential of their operational data. Our technology seamlessly integrates and contextualizes siloed datasets, providing a 360-degree operational view that enhances decision-making and efficiency.

With advanced capabilities like digital twins, natural language processing, normal behavior modeling, and machine vision, we create real-time virtual replicas of physical assets—enabling predictive maintenance, performance simulation, and operational optimization.

Our AI-driven models empower companies with scalable solutions for anomaly detection, performance forecasting, and asset lifetime extension—all tailored to the complexities of industrial environments.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field
• 3–5 years of experience in designing, training, and deploying computer vision models using frameworks like TensorFlow, PyTorch, or ONNX

Technical Skills

• Model Optimization: Expertise in quantization, pruning, distillation, and structured sparsity techniques to enhance performance on edge devices and low-power hardware
• Architectures: Hands-on experience with state-of-the-art architectures such as YOLO, Faster R-CNN, and Vision Transformers, including their optimization for deployment
• Computer Vision: Strong understanding of image pre-processing, feature extraction, traditional CV techniques, and end-to-end model pipelines
• Performance Profiling: Skilled in profiling and optimizing inference speed, memory usage, and throughput for resource-constrained environments
• Hardware Optimization: Practical experience deploying AI models on embedded systems and low-power hardware like NVIDIA Jetson, Intel Movidius, or ARM processors
• Programming: Proficient in Python and C++, with experience in parallel processing (CUDA, OpenCL) and hardware-aware optimizations
• MLOps: Familiar with CI/CD pipelines, Docker, and deployment frameworks for managing AI workflows efficiently
• Version Control: Strong experience with Git and collaborative development workflows

Soft Skills & Collaboration

• Strong analytical thinking, problem-solving, and effective communication skills
• Ability to document processes clearly and concisely
• Proven success working in cross-functional teams, engaging with stakeholders, and contributing to project planning