Computer Vision Data Science Team Leader

Job Title: Lead of data science and computer vision AI algorithm development team  

Company Overview:

Captain's Eye is a leading AI software company that focuses on enhancing safety, security and the operation in the maritime and industrial sectors, including ships, oil and gas rigs, ports, and plants. Leveraging the latest machine learning technologies, we offer unparalleled real time video analytics capabilities.

Location: Netanya (5 min from train station)

Abstract:

You will spearhead the development, implementation, and validation of state-of-the-art deep learning models and classic computer vision algorithm. Your role will also involve managing the team, building, and maintaining data pipelines, and analyzing model performance in development and production environments.

Key Responsibilities:

•         Lead and manage the AI team, setting objectives and overseeing deliverables.

•         Develop, implement, and validate deep learning models for computer vision applications.

•         Build and manage robust data pipelines, including the collection, preprocessing, and maintenance of training data.

•         Perform rigorous model validation using statistical techniques.

•         Work closely with SQL and MongoDB databases for data management.

•         Analyze Business Intelligence (BI) metrics to assess the performance of models in production settings.

•         Coordinate with cross-functional teams including data scientists, algorithm deployment engineers, and product managers.

Must-Have Qualifications:

•         BSc in Computer Science or equivalent.

•         Deep knowledge of machine learning principles, with an emphasis on deep learning and statistics.

•         Proficiency in Python, particularly in libraries like PyTorch, NumPy, and Pandas.

•         Familiarity with SQL and MongoDB databases.

•         Hands-on experience in synthetic data generation and management.

Major Advantages:

•         Proven track record in team leadership and management.

•         Familiarity with Nvidia Deepstream, Nvidia TensorRT and Nvidia Omniverse.

•         Familirity with Docker.

•         Familirity with AWS EC2 and S3.

•         Expertise in YOLOv5, YOLOv8, YOLONAS.

•         Experience with Voxel51 Python package.

•         Knowledge in MLOps best practices.