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Lead Data Scientist

EPAM·Salary not specified

Primary stack

AIAzure DevOpsAzure

Nice to have's

TensorFlow

Job description

About the Position

Lead Data Scientist

Location: Abu Dhabi, UAE

Work Mode: On-site

We're looking for a Lead Data Scientist to join our team in Abu Dhabi, UAE in an onsite working mode. In this role, you will lead advanced computer-vision work for video-analytics platforms. You will drive architecture decisions, guide model development and oversee production deployment. This role offers the opportunity to deliver impactful analytics solutions using machine learning in a dynamic digital environment.

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 the use and fine-tuning of Vision-Language Models for CV tasks
  • Optimize models for production using TensorRT, ONNX, and OpenVINO
  • Architect multi-camera tracking and video-analytics systems
  • Manage the MLOps lifecycle: training, deployment, and monitoring
  • Mentor and review the code of data scientists and engineers
  • Present technical direction and solution architecture to stakeholders

Requirements

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

Nice to Have

  • Experience with Large Language Models (LLM) and advanced TensorFlow techniques
  • Exposure to solution architecture, MLOps frameworks
  • Proficiency with model optimization tools such as OpenVINO, ONNX Runtime, and TensorRT
  • Hands-on practice with object detection, PyTorch, and Python development

We Offer

  • End of service gratuity
  • Private healthcare and life insurance
  • Employee assistance program
  • Wellness program
  • Annual air travel allowance for expatriates
  • Regular performance feedback and salary reviews
  • Global travel medical and accident insurance
  • Referral bonuses
  • Learning and development opportunities including in-house training and coaching, professional certifications, and courses

All benefits and perks are subject to certain eligibility requirements

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