Senior Applied AI/ML Engineer – Computer Vision & Video

About the role:

We are looking for a senior Applied AI/ML Engineer with strong hands-on experience in Computer Vision and video systems to help lead the development of production-grade AI solutions for video understanding, detection/segmentation, tracking, multimodal reasoning and model-assisted annotation. This is a practical research-and-engineering role: the person should be comfortable taking a problem from data and experimentation through model training, evaluation, optimization and deployment. Prior Physical AI or robotics experience is not mandatory, but the candidate must have enough depth in vision/video ML to grow into those areas.

Roles and Responsibilities

• Build, fine-tune and benchmark models for areas such as object detection, instance/semantic segmentation, tracking, video understanding, action recognition or other temporal vision tasks.
• Design reliable datasets, annotation schemas, gold sets and leakage-safe evaluation protocols, and perform systematic failure analysis across real-world video conditions.
• Evaluate modern vision, video and multimodal models and decide when to use a general-purpose model, a specialist model, or a hybrid pipeline.
• Optimize GPU inference and integrate versioned models into production services, working with backend/MLOps and annotation-platform teams.
• Own or co-own the technical design of applied AI/ML solutions with a strong Computer Vision and video component, from problem definition and data strategy through deployment.

Profile:

We are open to experienced Applied AI/ML candidates whose strongest work is in Computer Vision, video ML or multimodal systems. The exact previous job title is not important; demonstrated end-to-end ownership of real model-development work is.

• Relevant sourcing profiles / titles include: Senior Applied AI/ML Engineer; Senior AI/ML Engineer – Vision & Multimodal Systems; Senior Computer Vision Engineer; Machine Learning Engineer – Computer Vision; Video AI Engineer; Applied Scientist – Computer Vision; Multimodal AI Engineer; and Applied ML Research Engineer.
• Typically 4–8+ years of relevant hands-on experience in applied AI/ML, with a meaningful portion of that work involving Computer Vision or video. Strong candidates with fewer years but clear end-to-end model ownership may also be considered.
• B.Tech / M.Tech / MS / PhD in Computer Science, AI, Data Science, Electrical/ECE, Mathematics & Computing, Engineering Physics, Robotics, Mechatronics or a related technical discipline. Equivalent demonstrated industry or research depth is also acceptable.

Required Qualifications:

• Strong Python and hands-on PyTorch experience, including model training,... [truncated for excel]