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Nexxa is building the best AI systems for heavy industries — enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments.
Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.

We are looking for an AI Vision Engineer to help design, build, and deploy next-generation computer vision systems across a diverse set of real-world industrial applications.

This role is ideal for someone with a strong foundation in Computer Vision and Machine Learning who is excited about working across the full vision stack, including classical and deep-learning-based CV, vision-language models (VLMs), multimodal reasoning, and real-time inference at the edge and in the cloud.

You will work closely with our AI and engineering teams to develop production-ready vision solutions, improve model performance, and help shape the next generation of intelligent visual systems.

• 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.

• Stay current with the latest advancements in computer vision, multimodal AI, and autonomous systems.

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.

• Experience building production‑grade software and AI systems.

• Strong analytical and problem‑solving skills.

• Excellent communication and collaboration skills.

• 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.

• Experience with PostgreSQL and large‑scale data systems.

• Experience with model serving, distributed training, and inference optimization at scale.

• Contributions to open‑source projects, technical blogs, research publications, Kaggle competitions, or other demonstrable CV/AI work.

• Experience working in startup or high‑growth environments.

• A builder who enjoys taking vision systems from prototype to production.

• Someone comfortable working across classical Computer Vision, deep learning, and multimodal Generative AI.

• An engineer who is curious, adaptable, and eager to learn emerging vision and AI technologies.

• A strong collaborator who can contribute across research, engineering, and product discussions.

• Someone excited about solving challenging real‑world problems using computer vision.

• An individual who takes ownership, moves quickly, and thrives in an environment with significant autonomy.

Why Join Nexxa.AI?

• Innovative Environment: Play a critical role in transforming heavy industries through groundbreaking AI and automation technologies.

• Collaborative Culture: Be part of a team that values innovation, discipline, and continuous improvement.

• Professional Growth: Benefit from significant opportunities for career development and advancement.

• Competitive Compensation: Enjoy a comprehensive salary and equity package reflective of your expertise and contributions.