Role OverviewWe 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.
What You'll 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.
- Stay current with the latest advancements in computer vision, multimodal AI, and autonomous systems.
Required QualificationsEducationBachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Statistics, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Experience & Skills- 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.
Preferred Qualifications- 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.
What We're Looking For- 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 JoinNexxa.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.
If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect. 
