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Linguistic Analyst supporting AI language training and smart text improvements for a leading technology product. Evaluating datasets, analyzing linguistics, and validating quality with Product, Engineering, and Research teams.
About the role
- AI Vision Engineer building production computer vision and multimodal AI systems for heavy industries at Nexxa. Deploying real-time models across edge devices and cloud environments.
Responsibilities
- Design, train, evaluate, and deploy computer vision models for real-world industrial applications
- Build and optimize computer vision pipelines for object detection, segmentation, classification, OCR, tracking, and visual understanding
- Develop and fine-tune vision-language models for multimodal reasoning, visual question answering, and document understanding
- Design and optimize real-time inference pipelines for edge devices and cloud deployment
- 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
- Develop evaluation frameworks and benchmarks measuring accuracy, robustness, latency, and business impact
- Optimize models using 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 computer vision, multimodal AI, and autonomous systems advancements
Requirements
- 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 for detection, segmentation, classification, and OCR in production environments
- Experience with image and video processing libraries such as OpenCV
- Experience with common CV/detection frameworks such as YOLO, Detectron2, or MMDetection
- 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
- Master's degree in a related field is preferred
- Preferred experience with OCR, document understanding, visual reasoning, 3D vision, SLAM, sensor fusion, TensorRT, ONNX Runtime, quantization, pruning, edge hardware, LangChain, LangGraph, vector databases, AWS, GCP, Docker, Kubernetes, MLOps, PostgreSQL, distributed training, model serving, open-source contributions, and startup or high-growth environments
Benefits
- Significant opportunities for career development and advancement
- Competitive compensation package
- Equity package reflective of expertise and contributions
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