Lead Data Scientist - Computer Vision
Dubai
Artificial Intelligence – Data Science /
Permanent - Full Time /
On-site
Key Responsibilities
• Collaborative Team Leadership:
Lead a dynamic team of senior data scientists and working closely with data engineers, and MLOps specialists.
Foster a collaborative environment that encourages innovation and knowledge sharing.
• Project Collaboration:
Work closely with project managers and product managers to align vision and execution.
Ensure that project goals are met with high standards of quality and efficiency.
• Technical Expertise:
Design and implement advanced algorithms in computer vision.
Hands-on involvement in developing, optimizing, and maintaining machine learning and deep learning models for various applications.
• Data Analysis and Modeling:
Analyze complex datasets to extract meaningful insights.
Develop scalable services for image and video processing.
• Research and Development:
Engage in cutting-edge research to keep the team at the forefront of computer vision technology.
Drive innovation through experimentation with new techniques and tools.
Requirements
- Education:
- Master's or PhD in Computer Science, Electrical Engineering, or related field, with a focus on computer vision or machine learning.
- Experience:
- At least 7-10 years of hands-on experience in computer vision.
- Proven expertise in deterministic and modern computer vision methods including classification, segmentation, object detection, etc.
- Experience with Generative AI, particularly GANS.
- Demonstrated leadership in managing high-impact projects in computer vision.
- Skills:
- Deep knowledge in machine learning, deep learning, and computer vision.
- Proficiency in Python and frameworks like TensorFlow or PyTorch.
- Experience in image and video processing.
- Plus:
- Experience with self-supervised learning and multimodal learning is highly valued.
- Leadership and Communication:
- Strong leadership skills with the ability to mentor and develop a team.
- Excellent communication skills for effective collaboration across teams.
