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.

Work arrangement
Yes