Lead Data Scientist - Computer Vision

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.

• 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.