Senior Computer Vision Engineer

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About Us:

Muks Robotics AI Pvt. Ltd. is a forward-thinking robotics company dedicated to building intelligent, efficient, and cutting-edge robotic solutions for diverse industries. We focus on innovation, practical application, and pushing the boundaries of automation and AI-driven robotics.

About the Role:

We are seeking a Senior Computer Vision Engineer to lead the design, optimization, and deployment of advanced vision-based solutions for real-time, production-grade environments. This role involves hands-on development and mentoring, focusing on applications such as object detection, motion tracking, segmentation, OCR, pose estimation, and anomaly detection - from concept to deployment on edge or server platforms. Candidates will work with state-of-the-art models, architectures, and frameworks to deliver high-performance solutions.

Key Responsibilities:

● Lead the development of computer vision pipelines for detection, tracking, segmentation, recognition, and measurement tasks.

● Build and optimize solutions for OCR, human pose estimation, activity recognition, and anomaly/defect detection using SOTA models and architectures.

● Train, evaluate, and fine-tune deep learning models for high accuracy and performance.

YOLOv8/v9, Detectron2, Mask R-CNN, Faster R-CNN, EfficientDet, SegFormer, Swin Transformer, OpenPose, HRNet, Vision Transformers (ViT), UNet, DeepLabv3+, and SAM

PaddleOCR, CRNN, Transformer-based text recognition models

● Manage data collection, cleaning, labeling, and augmentation strategies.

● Optimize systems for real-time deployment and high-performance processing.

● Integrate solutions on embedded platforms, edge devices, and servers.

● Conduct benchmarking, testing, and ensure quality assurance of vision systems.

● Process live video streams and refine pipelines for efficiency and scalability.

● Collaborate with hardware, firmware, and backend teams to deliver end-to-end solutions.

● Mentor junior engineers and maintain detailed documentation of algorithms, experiments, and deployment workflows.

Required Skills & Qualifications:

● Bachelor’s or Master’s degree in Computer Science, AI/ML, Electronics, or a related field.

● Minimum 2 years of hands-on experience in computer vision development.

● Strong programming and algorithm design skills (Python preferred).

● Proven experience in object detection, segmentation, OCR, pose estimation, and anomaly detection.

● Experience deploying AI models on edge or server environments.

● Expertise in real-time video data processing and high-performance computation.

● Familiarity with SOTA architectures and frameworks for CV applications.

● Leadership experience in guiding projects or mentoring junior team members.

● Willingness to travel as required.

Nice to Have:

● Experience with multi-threaded or distributed processing.

● Understanding of industrial communication protocols.

● Background in automation, safety monitoring, or real-time analytics.

What We Offer:

● Opportunity to work on high-impact AI systems

● Collaborative, innovation-focused workplace

● Growth opportunities in a rapidly expanding tech company.

● Competitive salary and performance-based incentives.