AI Product Owner - Hybrid (ME + Remote)

For aclient inthe banking industry inthe Middle East, weare looking for an AI Product Owner

Responsibilities

• Oversee various products, product lines, and manage production
• Work on the product roadmap based on the product lifecycle.
• Assist the product team in the development, creation, and management of new products to ensure that they become successful products.
• Help the product owner and development team in the product development process by doing relevant data analysis.
• Collaborate with internal teams and external partners to work on delivering various AI/ML solutions to meet customer needs
• Work closely with the engineering teams and product leaders to ensure everything is being developed and managed accordingly.
• Define data and annotation strategies for all machine learning projects.
• Take an active part in sprint planning, retrospective activities, and backlog review and prioritization.
• Monitor open bugs, missing data, output precision issues, and result incompleteness and inconsistency.
• Ensure that all the requirements for ML capabilities are fulfilled.
• Furthermore, oversee the development, management, and maintenance of multiple ML pipelines and tools.
• Identify the right use cases for machine learning, including businesscases.
• Weed out internal biases while testing new data to develop better product functionality.
• Decide on the product feature trade-offs based on the user experience data.
• Evaluate what metrics need to be tracked to improve machine learning models.
• Identify new business opportunities that can utilize AI/ML technology to drive profitability

Requirements

• Bachelor’s degree in Computer Science of Information Technology or similar field
• Background in data science, product management, machine learning, or AI.
• 3-5 years relevant experience
• A complete understanding of machine learning concepts, machine learning models, and algorithms.
• Fundamental understanding of AI and other specialized concepts like deep learning.
• Complete understanding of various machine learning branches, such as supervised learning, unsupervised learning, federated learning, active learning, reinforcement learning, transfer learning, multi-task learning, and meta-learning.
• Good understanding of various mathematical and statistical concepts such as regression.
• A great understanding of data science and machine learning lifecycles.
• A basic understanding of common programming languages, such as Python
• Leadership skills to effectively collaborate with and manage multiple teams.
• Excellent quantitative skills, along with strong analytical skills.
• Superior interpersonal and communication skills.
• Working experience in AI / Machine Learning projects
• The ability to figure out present problems and how many of them can be solved using machine learning.

Offer

• Long-term B2B cooperation
• 70% work inone of the Middle East countries and 30% remotely