Description

You will lead the design and deployment of computer vision models for object detection, tracking, human activity analysis, and visual quality control.

This role is on-site.

Responsibilities

• Architect real-time vision systems optimized for latency, accuracy, and scalability across edge and cloud environments.
• Build and optimize image and video data pipelines to ensure robust data flow from sensors and cameras.
• Evaluate and integrate new research and models, such as ViTs, SAM, and Grounding DINO, into existing workflows.
• Mentor junior ML engineers and maintain high technical standards through collaborative problem-solving.
• Collaborate with clients and stakeholders on AI solutioning, PoCs, and consulting projects.

Required Skills

• 7+ years of experience in machine learning engineering.
• Expertise in computer vision tasks including object detection and tracking.
• Hands-on experience with SAM (Segment Anything Model).
• Proven ability to design and deploy models in both edge and cloud environments.
• Experience building end-to-end video and image data pipelines.
• Ability to translate client requirements into technical AI solutions.

Preferred Skills

• Strong problem-solving skills.

Key Skills

Education

Any Gradute