Lead Data Scientist

Role overview

Responsibilities

• Lead computer-vision solutions for object detection, tracking, re-identification, action recognition, and segmentation.
• Drive model selection and experiments with YOLO, Transformer, ViT, and RF-DETR.
• Guide use and fine-tuning of Vision-Language Models 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, review code, and present technical direction and solution architecture to stakeholders.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a 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, and OpenVINO, including edge-AI constraints.
• Experience building multi-camera tracking and video-analytics systems and knowledge of MLOps training, deployment, and monitoring.
• Team leadership, code review, mentoring, and stakeholder communication experience.

Preferred experience

• Large Language Models, advanced TensorFlow techniques, solution architecture, MLOps frameworks, and optimization tools such as OpenVINO, ONNX Runtime, and TensorRT are listed as nice to have.

Benefits

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