Lead Data Scientist

Role overview

Responsibilities

• Lead solutions for object detection, tracking, re-identification, action recognition, and segmentation.
• Drive model selection and experiments with YOLO, Transformer, ViT, and RF-DETR.
• Guide Vision-Language Model use and fine-tuning for computer-vision tasks.
• Optimize production models with TensorRT, ONNX, and OpenVINO.
• Architect multi-camera tracking and video-analytics systems.
• Manage MLOps training, deployment, and monitoring.
• Mentor data scientists and engineers and review code.
• Present technical direction and solution architecture to stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field; PhD is a plus.
• 10+ years of applied machine-learning experience with deep computer-vision expertise.
• Strong Python skills and hands-on PyTorch and TensorFlow experience.
• Proven use of YOLO, Transformer, ViT, and RF-DETR architectures.
• Experience with Vision-Language Models and fine-tuning for computer-vision tasks.
• Model optimization experience with TensorRT, ONNX, OpenVINO, and edge-AI constraints.
• Track record building multi-camera tracking and video-analytics systems.
• Knowledge of MLOps training, deployment, and monitoring.
• Team leadership, code review, mentoring, and stakeholder communication skills.

Nice-to-have skills

• Large Language Models and advanced TensorFlow techniques.
• Exposure to solution architecture and MLOps frameworks.
• Proficiency with OpenVINO, ONNX Runtime, and TensorRT.
• Hands-on practice with object detection, PyTorch, and Python development.

Benefits

• End-of-service gratuity, private healthcare, and life insurance.
• Employee assistance and wellness programs.
• Annual air travel allowance for expatriates.
• Regular performance feedback and salary reviews.
• Global travel medical and accident insurance and referral bonuses.
• Learning and development through in-house training, coaching, certifications, and courses.