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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 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.

If you're passionate about development and eager to shape the infrastructure powering advanced AI solutions, we'd love to connect.