Computer Vision AI/ML Engineer

About Us

Our client is a venture-backed applied AI company building advanced software platforms that automate complex visual and operational workflows for technical industries. Their products combine computer vision, machine learning, multimodal AI, and workflow automation to solve highly manual, data-intensive problems at scale.

The company is entering a significant growth phase and is investing heavily in engineering, AI infrastructure, and product innovation. The environment is highly collaborative, fast-moving, and deeply technical, with a strong focus on practical AI applications deployed into real production environments.

About the Role

This is a hands-on Machine Learning / Computer Vision Engineering role focused on building and deploying production-grade vision systems used in complex real-world workflows.

The team already has strong machine learning and backend engineering capabilities in place. This hire is intended to add deeper expertise in computer vision, image understanding, and multimodal AI systems.

The role will involve a blend of:

• traditional computer vision techniques,
• modern deep learning approaches,
• multimodal / vision-language model integration,
• and production ML engineering experimentation and rapid prototyping

The ideal candidate enjoys operating in a startup environment where speed, ownership, and practical problem solving matter as much as technical depth.

What You’ll Be Doing

• Design, train, and optimize advanced computer vision models for detection, segmentation, classification, and visual reasoning tasks
• Build scalable training, inference, and experimentation pipelines using Python and modern ML tooling
• Work with both classical computer vision approaches and modern multimodal / vision-language systems
• Develop and improve data processing, annotation, augmentation, and evaluation workflows
• Deploy and maintain production ML systems in cloud-based environments
• Improve model reliability, performance, observability, and scalability across production workloads
• Partner closely with product and engineering teams to integrate AI capabilities into customer-facing platforms and APIs
• Contribute to architectural discussions, technical strategy, and ongoing platform evolution

Must Have Skills:

• Strong hands-on experience building and deploying computer vision systems in production environments
• Deep understanding of computer vision fundamentals, image processing, and deep learning architectures
• Strong experience with Python, PyTorch, OpenCV, and modern ML tooling
• CNNs, segmentation, and detection architecture
• Exposure to OCR, geometric reasoning, or 3D transformation workflows
• Experience working with multimodal AI systems, vision-language models, or applied generative AI workflows
• Experience building scalable ML pipelines and inference systems
• Strong understanding of model evaluation, optimization, and experimentation methodologies
• Comfortable operating in fast-paced, highly iterative startup environments
• Strong communication and collaboration skills across engineering and product teams

Nice to Have Skills:

• Experience deploying ML systems using Docker, AWS, or modern cloud infrastructure
• Background in applied AI products serving technical or operational industries
• Master’s or PhD in Computer Vision, Machine Learning, Computer Science, or related fields
• Experience working in smaller high-growth startups or highly autonomous engineering teams

Details:

• Starting: ASAP
• Travel: N/A
• Dress Code: Casual

Tags:

Computer Vision Fundamentals Mathematics & Algorithms Production Machine Learning Python & ML Engineering