Aa & Ai Products Owner

6 months ago

المملكة العربية السعودية, Saudi Arabia Newxel Full time

**The AA & AI Products Owner** is a specialized product management professional who manages the planning, development, launch, and success of products/solutions powered by AI, machine learning, and deep learning technologies. This role is crucial to the overall team, acting as the liaison between the development team and the wider customer community. He will work collaboratively with stakeholders to define the overall product vision and is responsible for communicating that vision to the team and motivating the team to deliver a high-quality product.

The Product Owner is responsible for creating and maintaining the Product Backlog and is a key contributor to the Sprint Planning and Review Meetings. The Product Owner can help maximize delivery capabilities, enhance the planning and scheduling process, improve project estimation, and drive overall product success

**Responsibilities**:

- Oversee various products and product lines, and manage production.
- Work on the product roadmap based on the product lifecycle.
- Assist the product team in developing, creating, and managing new products to ensure 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.
- Participate actively in sprint planning, retrospective activities, backlog review, and prioritization.
- Monitor open bugs, missing data, output precision issues, and results in incompleteness and inconsistency.
- Ensure that all the requirements for ML capabilities are fulfilled. Furthermore, oversee multiple ML pipelines and tools’ development, management, and maintenance.
- Work with various teams to test machine learning models frequently to ensure they work and accelerate time-to-market based on real-world estimates.
- Identify the right use cases for machine learning, including business cases.
- 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 utilizing AI/ML technology to drive profitability.

**Requirements**:

- Bachelor’s degree in Computer Science or Information Technology or similar field
- Background in data science, product management, machine learning, or AI.
- 3-5 years relevant experience
- English: Intermediate

**Technical knowledge areas**:

- A complete understanding of machine learning concepts, 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.
- Consistent ability to remain user-centric at all times by focusing on customer needs.
- 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.
- Excellent quantitative skills, along with strong analytical skills.
- Superior interpersonal and communication skills.
- Leadership skills to effectively collaborate with and manage multiple teams.
- Good planning, time management, and organizational skills.
- Detail-oriented and execution-focused approach.
- Literate about all things data. That includes machine learning concepts, basic AI concepts, and data science fundamentals. They need that understanding to evaluate data, ask the right questions about said data, and more.
- The ability to figure out present problems and how many can be solved using machine learning.
- Explain complex machine learning processes in simple terms
- Needs to have a sound understanding of Agile principles and practices
- Working experience in AI / Machine Learning projects
- Ability to frame a business problem into a machine-learning solution
- Maintain Basic knowledge of machine learning concepts, models, and algorithms.
- Has experience and success guiding engineering project teams
- Experience with monitoring and analyzing large data sets to solve business problems.

**What we offer**:
**Global Presence, Local Impact**

Imagine yourself working **in Qatar or Saudi Arabia**, immersed in vibrant cultures while contributing to groundbreaking projects that shape the digital landscape.

With the flexibility **to work remotely part of the time**, you can enjoy the best of both worlds - an inspiring office enviro

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