Lead AI/ML Computer Vision

We’re Hiring: Lead – AI/ML (Computer Vision)

📍 Location: Gurgaon, Haryana (Onsite)

🕒 Experience: 8–12 years total, with 6+ years in Computer Vision

🌏 Timezone: IST

We are looking for a seasoned, hands-on AI/ML professional to lead cutting-edge Computer Vision initiatives. This role is ideal for someone passionate about building scalable, production-grade vision solutions across image and video analytics, generative vision models, and edge AI deployments.

Role Overview

As a Lead – AI/ML (Computer Vision), you will drive innovation across industrial AI use cases, working closely with cross-functional teams to design, develop, optimize, and deploy advanced vision models for real-world applications.

Key Responsibilities

• Lead the design and development of advanced computer vision models, including generative architectures such as GANs and diffusion models for image/video synthesis, enhancement, and understanding.
• Architect and optimize low-latency, low-footprint AI models for edge deployment on mobile, embedded, and industrial devices.
• Build scalable image and video analytics pipelines for both real-time and batch processing.
• Develop solutions for anomaly detection, activity recognition, object tracking, permit-to-work workflows, visual inspection, and related industrial use cases.
• Collaborate with product, engineering, and business teams to translate requirements into production-ready AI/ML solutions.
• Ensure model scalability, reliability, performance optimization, and deployment readiness.

Required Skills & Qualifications

• 8–12 years of experience in AI/ML, with at least 6+ years focused on Computer Vision.
• Strong hands-on experience with deep learning frameworks such as PyTorch and TensorFlow.
• Expertise in generative models, image segmentation, object detection, and video understanding.
• Experience with multimodal models (vision + language), including fine-tuning and distillation of vision models.
• Familiarity with MLOps practices, model compression, quantization, and performance tuning.
• Strong problem-solving skills and the ability to thrive in a fast-paced environment.

Preferred Qualifications

• Proven experience deploying AI models on edge devices.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Familiarity with Docker, Kubernetes, and containerized deployment workflows.

Common Use Cases

• Defect detection
• Permit-to-work workflows
• Predictive maintenance using video and image feeds
• Visual inspection automation
• Training automation using live video
• Infrastructure inspection using drones

If you are passionate about building next-generation Computer Vision solutions and want to work on impactful industrial AI applications, we’d love to hear from you.

Interested candidates can share their resume at ritika.dubey@appzime