AI Vision Engineer

The role

You will design, build, and deploy computer vision systems for industrial applications. This includes developing CV pipelines, vision-language models, and real-time inference for edge and cloud deployment.

What you will do

• Design, train, evaluate, and deploy computer vision models for real-world industrial applications.
• Build and optimize CV pipelines for tasks such as object detection, segmentation, classification, OCR, tracking, and visual understanding.
• Develop and fine-tune vision-language models (VLMs) for multimodal reasoning, visual question answering, and document understanding.
• Design and optimize real-time inference pipelines for deployment on edge devices and in the cloud.
• Build scalable data pipelines for image and video collection, annotation, augmentation, training, and evaluation.
• Fine-tune and evaluate open-source vision and multimodal foundation models using modern training and inference frameworks.
• Develop robust evaluation frameworks and benchmarks to measure model accuracy, robustness, latency, and business impact.
• Optimize models for production constraints, including quantization, pruning, and hardware-accelerated inference.
• Collaborate with product, engineering, and research teams to translate business requirements into technical vision solutions.
• Contribute to architecture decisions, technical design reviews, and AI/CV best practices.

Required qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent practical experience.
• 3+ years of industry experience in Computer Vision, Machine Learning, Applied AI, or related fields.
• Demonstrated experience independently owning and delivering computer vision projects from concept to production.
• Strong programming skills in Python.
• Hands-on experience with PyTorch and modern deep learning workflows.
• Experience developing and deploying computer vision models (detection, segmentation, classification, OCR) in production environments.
• Experience working with image and video processing libraries such as OpenCV.
• Experience with common CV/detection frameworks (e.g., YOLO, Detectron2, MMDetection, or similar).
• Experience working with VLMs, multimodal models, or Generative AI applications.
• Strong understanding of machine learning fundamentals, model evaluation, experimentation, and model deployment.
• Experience working with Hugging Face Transformers and open-source AI ecosystems.
• Familiarity with data annotation workflows, dataset curation, hyperparameter optimization, and inference optimization.

Nice to have

• Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Vision, or a related field.
• Experience with OCR, document understanding, or visual reasoning systems.
• Experience with Vision-Language Models (VLMs) and multimodal AI applications.
• Familiarity with 3D vision, SLAM, or sensor fusion (e.g., camera + LiDAR) for industrial or robotics applications.
• Experience with real-time inference optimization (TensorRT, ONNX Runtime, quantization, pruning).
• Experience deploying models on edge hardware (e.g., NVIDIA Jetson, embedded systems).
• Experience with LangChain, LangGraph, or agentic AI frameworks combining vision and language models.
• Experience with vector databases and visual/semantic retrieval systems.
• Experience deploying AI systems on AWS, GCP, or other cloud platforms.
• Experience with Docker, Kubernetes, and MLOps workflows.

Benefits

• Innovative Environment
• Collaborative Culture
• Professional Growth
• Competitive Compensation: salary and equity package

About the company

Nexxa is building AI systems for heavy industries to enable machines, systems and operations to think, decide and act autonomously. Their mission is to translate deep technical breakthroughs into operational reality.