AI/ML Engineer Computer Vision & Deep Learning

Role Description:

We are looking for an AI/ML Engineer with strong Python and Computer Vision experience to develop and improve AI-based solutions for real-world road and vehicle applications. The role will involve working with object detection models, including YOLO, and improving existing model performance and accuracy.

Key Responsibilities

• Develop, train, fine-tune, and optimize AI/ML and computer vision models using Python.
• Work with YOLO and other object detection frameworks for vehicle, road, and axle detection.
• Analyze datasets, improve model accuracy, and troubleshoot model performance issues.
• Develop and integrate ML/AI solutions using APIs and frameworks such as FastAPI.
• Work with LLM integration and Agentic AI where applicable.
• Deploy and support AI/ML solutions using AWS, Kubernetes, or similar cloud environments.

Core Qualifications

• 5-8 years of experience in AI/ML or Computer Vision development.
• Strong Python programming and experience with ML/Deep Learning frameworks such as PyTorch, TensorFlow, or similar.
• Hands-on experience with YOLO, OpenCV, object detection, image/video processing, and model training/fine-tuning.
• Experience improving model accuracy and working with real-world datasets.
• Understanding of ML model deployment, APIs, and cloud environments.

Preferred Qualifications

• Experience with vehicle detection, axle detection, road/tunnel environments, or similar computer vision applications.
• Experience with FastAPI, microservices, AWS, Kubernetes, or PCF.
• Exposure to LLM integration, Agentic AI, or other modern AI technologies.