לוח משרות דרושים מנהל מוצר AI בתל אביב יפו

As the Head of AI, you will lead our AI department to drive innovation and success in developing and implementing cutting-edge technologies in DL and computer vision Algorithms. We are dealing with a variety of tasks such as regression, segmentation, classification, and detection while editing millions of images every week for professionals, and holding hundreds of millions of edited images by professionals used as datasets.


Responsibilities:
Leading and managing a team of AI developers to deliver high-quality projects and solutions.
Providing technical guidance, expertise, and mentorship to team members to ensure the successful execution of AI initiatives.
Developing Designing and implementing up-to-production novel, robust and efficient deep learning algorithms in the field of computer vision.
Collaborating with cross-functional teams to integrate AI technologies into various products and services.
Overseeing the design, development, and deployment of machine learning and deep learning models and recommending innovative solutions to enhance business performance.

Were looking for a Product Analyst to join our Product team and play a critical role in unlocking the power of maritime data. Youll dive deep into complex datasets, ensuring quality, uncovering insights, and shaping the foundation for products and workflows built on AI. Your work will directly contribute to product innovation, customer impact, and the next generation of AI-driven maritime solutions.

What will you do?

Extract, analyze, and interpret maritime data using Python, SQL, and other data tools, working across sources such as Rockset, MongoDB, and S3.
Ensure data quality, accuracy, and consistency, supporting both product development and Generative AI-powered workflows.
Identify patterns, anomalies, and emerging risks within large, complex datasets to drive actionable insights for customers and internal stakeholders.
Collaborate with product managers, engineers, and data scientists to optimize data pipelines, workflows, and models.
Support the development of strategies for handling structured and unstructured data, contributing to scalable, automated solutions.
Visualize and communicate findings effectively, using tools such as Matplotlib, Grafana, or Redash, tailored for technical and non-technical audiences.
Apply domain knowledge of the maritime industry to contextualize data and generate meaningful insights for product workflows.
Conduct data integrity and QA checks, ensuring reliability for both operational use and AI model training.