AI Product Owner

Element; Polska; Hybrid; PLN 350,000 - 505,000; Full time

Job summary

Element is seeking an AI Product Owner to drive multiple ML-driven products, shaping roadmaps across their lifecycle. You will partner with engineering and product leaders to ensure successful development, deployment, and continuous improvement of AI/ML solutions in an international setting.

You will analyze data to guide decisions, define data annotation strategies, and translate user needs into compelling product features while coordinating with internal teams and external partners to maximize

Qualifications

• Bachelor’s degree in CS or IT or similar field is required.
• Background in data science, product management, ML, or AI is expected.
• 3-5 years of relevant experience in AI/ML product roles.
• Solid understanding of ML concepts, models, and algorithms.
• Basic programming knowledge, e.g., Python.

Responsibilities

• Oversee multiple products, product lines, and production management.
• Contribute to roadmaps based on product lifecycle and data analysis.
• Develop and manage new products to ensure market success.
• Assist teams in data analysis to support development.
• Collaborate with internal and external partners on AI/ML delivery.
• Work with engineering and product leaders to align development.
• Define data/annotation strategies for ML projects.
• Participate in sprint planning, retrospectives, and backlog reviews.
• Monitor data quality issues, missing data, and output accuracy.
• Ensure ML capabilities meet all requirements.
• Oversee ML pipelines and tooling development and maintenance.
• Identify ML use cases and business opportunities.

Skills

Product management

Data analysis

Leadership

AI/ML concepts

Python

Education

Bachelor’s degree in Computer Science or Information Technology

Tools

Python

Job description

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