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ai product owner

York Towers

<div>
 York Holding Group is a diversified investment and development group with a portfolio spanning real estate, technology, and financial innovation. The group operates through three specialized business verticals that complement each other to drive growth across the real estate ecosystem, from large-scale property development, to next-generation PropTech solutions, to a regulated FinTech platform transforming real estate investment through digital tokenization and fractional ownership. United by a shared vision of innovation, transparency, and excellence, York Holding Group continues to shape the future of living, investing, and digital real estate experiences across the region.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is a technology-driven real estate company leveraging automation and
 
 
 AI to scale modern real estate services. We are looking for an AI Product
 
 
 Owner to own the delivery of AI-powered products and workflows, working
 
 
 closely with engineering, data, and operations teams.
 
 
 This role is
 
 execution-focused and delivery-oriented
 
 ,
 
 closer to a Product
 
 
 
 
 Owner than a traditional Product Manager
 
 , with strong ownership of backlogs,
 
 
 priorities, and outcomes for AI-driven systems.
 
 
 
 About The Role
 
 
 
 As an AI Product Owner at
 
 Dwelleo
 
 , you will be responsible for t
 
 ranslating real
 
 
 
 
 operational and business problems into clear, actionable requirements for AI
 
 
 
 
 systems, including LLM-based and agentic solutions.
 
 
 
 You will
 
 own the backlog for AI initiatives, work day-to-day with engineers
 
 
 
 
 building AI agents and backend systems
 
 , and ensure that AI products are
 
 
 reliable, measurable, and aligned with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own and prioritize the AI product backlog using Atlassian Jira.
 </li>
 <li>
 Write clear user stories, acceptance criteria, and functional requirements for AI-driven features.
 </li>
 <li>
 Work daily with AI engineers, backend engineers, and frontend developers.
 </li>
 <li>
 Lead backlog refinement, sprint planning, reviews, and retrospectives.
 </li>
 <li>
 Translate operational workflows into AI-augmented or automated solutions.
 </li>
 <li>
 Balance experimentation with delivery, reliability, and scalability.
 </li>
 <li>
 Define and track success metrics for AI features and workflows.
 </li>
 <li>
 Act as the main bridge between business stakeholders and AI/engineering teams.
 
 
 </li>
 </ul>
 
 AI &amp; Technical Scope
 
 
 
 
 You are not expected to build models, but you should be comfortable:
 
 
 
 <ul>
 <li>
 Understanding LLM-based systems, agentic workflows, and automation pipelines.
 </li>
 <li>
 Discussing how AI agents interact with APIs, tools, and data sources.
 </li>
 <li>
 Defining non-functional requirements such as reliability, latency, cost, and safety.
 </li>
 <li>
 Reviewing AI solution proposals and challenging assumptions with engineers.
 </li>
 <li>
 Communicating AI capabilities and limitations to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 4+ years of experience as a Product Manager or Product Owner in a tech environment.
 </li>
 <li>
 2+ years owning or delivering AI-powered or data-driven products.
 </li>
 <li>
 Hands-on experience managing backlogs in Jira (Atlassian stack).
 </li>
 <li>
 Direct experience working with AI engineers and backend/frontend developers.
 </li>
 <li>
 Track record of managing 200+ backlog items or tickets annually.
 </li>
 <li>
 Experience delivering in 2-week sprint cycles across multiple quarters.
 </li>
 <li>
 Experience supporting products used by 1,000+ users or powering core operational workflows.
 </li>
 <li>
 Strong communication skills across technical, business, and operational teams.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LLMs, automation platforms, or agentic AI systems.
 </li>
 <li>
 Background in proptech, marketplaces, or operational platforms.
 </li>
 <li>
 Experience working with distributed engineering teams.
 
 
 </li>
 </ul>
 
 Why Join Dwelleo?
 
 
 
 <ul>
 <li>
 Own AI products with real operational and business impact.
 </li>
 <li>
 Work closely with Agentic AI Engineers and platform teams.
 </li>
 <li>
 High ownership and visibility in a growing tech-enabled company.
 </li>
 <li>
 Help shape how AI is responsibly applied to real estate services.
 
 
 </li>
 </ul>
 
 Interested?
 
 
 
 If you enjoy owning delivery, working closely with engineers,
 
 
 and turning AI capabilities into reliable, real-world products, we&rsquo;d like to hear from you.
</div>

AI Product Owner

Finaira

<div>
 The Senior Product Manager will lead the product strategy and roadmap for significant FinTech products and services, ensuring alignment with business goals and maximizing user value. This role requires deep understanding of the financial services domain, strong stakeholder management skills, and the ability to guide and inspire development teams.
 
 
 You are the single-threaded owner for the entire product lifecycle. You will be responsible for everything from high-level strategy and market research to detailed backlog management and daily sprint execution.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Define and champion the long-term product vision, strategy, and roadmap.
 </li>
 <li>
 Lead and prioritize the product backlog across multiple teams or complex product areas.
 </li>
 <li>
 Conduct in-depth market research, competitive analysis, and user research to identify opportunities.
 </li>
 <li>
 Collaborate closely with executive stakeholders to align product strategy with business objectives.
 </li>
 <li>
 Effectively communicate the product vision and roadmap to all stakeholders.
 </li>
 <li>
 Owning the product backlog, leading refinement meetings ensuring the team understands the "why" behind the work and are working on the right priorities for each sprint.
 </li>
 <li>
 Develop data-driven monetization trackers and define the KPIs and OKRs to measure product success and guide upcoming iterations.
 </li>
 <li>
 Mentor and guide other Product Owners/Managers and team members.
 </li>
 <li>
 Drive innovation and explore new product opportunities within the FinTech space.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in business administration, Computer Science, or a related field.
 </li>
 <li>
 Experience: 5+ years of progressive experience in Product Management, with a strong track record of successfully launching and managing digital &amp; AI products, preferably within the financial services industry. Deep experience with Agile development methodologies is essential.
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Strong understanding of software &amp; AI development processes and the ability to engage in technical discussions.
 </li>
 <li>
 Deep familiarity with user-centered design principles and methodologies.
 </li>
 <li>
 Solid knowledge of the relevant technology domain (e.g., AI, mobile development, Microservices).
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Exceptional communication, interpersonal, and presentation skills, with the ability to influence stakeholders at all levels
 </li>
 <li>
 Strong analytical and strategic thinking skills
 </li>
 <li>
 Proven ability to prioritize effectively and make strategic decisions
 </li>
 <li>
 Excellent leadership and team collaboration skills
 </li>
 <li>
 Deep business acumen and a strong understanding of the financial services market
 </li>
 <li>
 Strong customer empathy and a passion for creating impactful user experiences
 </li>
 <li>
 Excellent command of English language, both verbal and written
 </li>
 <li>
 Proactive self-learner with a positive attitude and a strategic mindset
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Product Manager

Lucky App

<div>
 
 
 
 Role Overview
 
 
 
 
 
 The Senior Graphic Designer is responsible for leading the visual identity, creative direction, and design execution across all brand and product touchpoints. This role ensures brand consistency, high-impact visual storytelling, and supports marketing, product, and business teams with innovative design solutions. The Senior Graphic Designer also leverages advanced AI tools to enhance speed, creativity, and production quality.
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 Creative Development &amp; Execution
 
 
 <ul>
 <li>
 
 Lead the creation of visual assets for campaigns, social media, product interfaces, pitch decks, events, and brand communications.
 
 </li>
 <li>
 
 Produce high-quality static, motion, and AI-enhanced visuals using both traditional design tools and next-generation AI platforms.
 
 </li>
 <li>
 
 Develop concept boards, mockups, storyboards, and creative directions for internal and external use.
 
 </li>
 <li>
 
 Utilize AI tools (Photoshop Generative Fill, Adobe Firefly, Illustrator AI, Mid Journey, Runway) to speed up ideation and enhance creative outputs.
 
 </li>
 <li>
 
 Translate business briefs into strong conceptual directions and polished final designs.
 
 </li>
 </ul>
 
 
 Brand Identity &amp; Consistency
 
 
 <ul>
 <li>
 
 Maintain, evolve, and enforce brand guidelines across all channels.
 
 </li>
 <li>
 
 Ensure consistent visual identity across digital, social, print, and product environments.
 
 </li>
 <li>
 
 Introduce modern creative standards and AI-based workflows to improve output and efficiency.
 
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 
 Collaborate closely with Marketing, Content, Product and Social Media teams.
 
 </li>
 <li>
 
 Participate in brainstorming sessions and propose visual concepts for campaigns and product launches.
 
 </li>
 </ul>
 
 
 Project &amp; Workflow Management
 
 
 <ul>
 <li>
 
 Manage multiple design projects efficiently while meeting deadlines.
 
 </li>
 <li>
 
 Ensure fast turnarounds using both manual design processes and AI-assisted production techniques.
 
 </li>
 </ul>
 
 
 Creative Innovation
 
 
 <ul>
 <li>
 
 Stay updated on design trends, motion aesthetics, and emerging AI creative tools.
 
 </li>
 <li>
 
 Explore new techniques using generative AI to improve productivity and visual impact.
 
 </li>
 <li>
 
 Lead creative production for major brand campaigns, rebranding initiatives, and special visual projects.
 
 </li>
 </ul>
 
 
 
 
 
 Profile Requirements
 
 
 
 
 Education
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Graphic Design, Fine Arts, Visual Communication, or a related creative field.
 
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 
 2 &ndash; 4+ years of professional graphic design experience.
 
 </li>
 <li>
 
 Experience in digital-first industries (fintech, tech, digital marketing) is preferred.
 
 </li>
 </ul>
 
 
 
 ﻿
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 
 Expert in Adobe Creative Suite:
 
 </li>
 <li>
 
 Photoshop (including Generative Fill)
 
 </li>
 <li>
 
 Illustrator (including Illustrator AI features)
 
 </li>
 <li>
 
 InDesign
 
 </li>
 <li>
 
 After Effects
 
 </li>
 <li>
 
 Proficient in AI-assisted creative tools:
 
 </li>
 <li>
 
 Adobe Firefly
 
 </li>
 <li>
 
 Midjourney
 
 </li>
 <li>
 
 Runway (video &amp; motion AI tools)
 
 </li>
 <li>
 
 Ability to create illustrations, icons, digital layouts, motion graphics, and branded templates.
 
 </li>
 <li>
 
 Strong understanding of social media formats and platform-specific requirements.
 
 </li>
 <li>
 
 Strong creative thinking and visual storytelling.
 
 </li>
 <li>
 
 High attention to detail and quality.
 
 
 </li>
 </ul>
 
 
 
</div>

Senior Graphic Designer

Inovola

<div>
 
 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLMs for production-ready applications.
 </li>
 <li>
 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
 </li>
 <li>
 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments.
 </li>
 <li>
 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
 </li>
 <li>
 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
 </li>
 <li>
 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
 </li>
 <li>
 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
 </li>
 <li>
 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
 </li>
 <li>
 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
 </li>
 <li>
 Understanding of generative AI models for text, image, or multimodal outputs.
 </li>
 <li>
 Familiar with traditional ML and computer vision.
 </li>
 <li>
 Strong problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 3+ years of hands-on experience in AI/ML model development and deployment.
 </li>
 </ul>
</div>

Mid/Senior AI Developer

Naseej

<div>Company Description:
Naseej is a leading technology company committed to harnessing the power of digital transformation in learning &amp; knowledge management by enabling our customers to provide rich experiences for their users and adapt to a dynamic technology landscape while reducing their technical burden enabling them to focus on achieving their strategic objectives. And for almost 36 years, Naseej with its branches all over the MENA region had made many contributions to be one of the market leaders in the fields of E-Learning, Edu-Tech &amp; Digital transformation. Naseej website: https://www.naseej.com/
Job Description:
We are seeking an experienced Product Manager to oversee one of our Medad products. The ideal candidate will be responsible for defining product direction, managing delivery, and ensuring the product meets both user and business needs.
Requirements:<ul><li>
Proven experience in product management, including defining product roadmaps, prioritizing tasks, and managing features and release lifecycles.</li><li>
Strong communication, collaboration, and leadership abilities to work effectively with cross-functional teams.</li><li>
Analytical and strategic thinking skills to conduct market research, interpret data, and incorporate user feedback into product development.</li><li>
Proficiency in Agile methodologies and product management tools such as JIRA, TFS, or similar platforms.</li><li>
Familiarity with SaaS platforms, cloud technologies, and knowledge management or research management systems is considered an advantage.</li><li>
Bachelor&rsquo;s degree in business administration, Computer Science, or a related field.</li><li>
A proactive, problem-solving mindset with a strong focus on user needs and delivering impactful product solutions.</li></ul>
Nice to Have:<ul><li>
Technical background in software engineering.</li><li>
Good understanding of AI technologies or prior experience working with AI-driven products</li></ul></div>

ArpuPlus - ARPU Telecommunications Services

<div>
 
 Job Overview:
 
 
 
 We are seeking a B2B Product Marketing Specialist to join our team and support the development and execution of marketing strategies for our business-to-business products. The ideal candidate will have a passion for understanding customer needs, market dynamics, and effective marketing tactics to drive product growth.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Conduct research to understand market trends, customer needs, and competitive positioning to inform marketing strategies
 </li>
 <li>
 Assist in developing compelling product messaging and positioning that resonates with target B2B audiences
 </li>
 <li>
 Identify emerging CPaaS adoption patterns and industry-specific communication challenges
 </li>
 <li>
 Translate product features into clear, industry-focused value propositions and use cases
 </li>
 <li>
 Develop and execute marketing strategies for each targeted industry, focusing on high-impact business cases that align with the business growth plan
 </li>
 <li>
 Collaborate with the team to plan and execute product marketing campaigns, including digital, performance and social media marketing initiatives
 </li>
 <li>
 Plan and execute lead-generation campaigns and nurture programs for each industry
 </li>
 <li>
 Manage and optimize digital campaigns (email, LinkedIn, performance ads) to generate qualified leads
 </li>
 <li>
 Build and maintain lead funnels for targeted industries
 </li>
 <li>
 Create sales materials such as product sheets, presentations, and case studies to assist the sales team in effectively communicating product value and tackle customer's pain points in relative industry
 </li>
 <li>
 Help coordinate and promote product through AI tools generating leads
 </li>
 <li>
 Monitor and report on campaign performance metrics, providing insights and recommendations for continuous improvement
 </li>
 <li>
 Work closely with product management, sales, and customer success teams to align marketing efforts with business objectives
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Marketing, Business, Communications, or a related field
 </li>
 <li>
 3 to 5 years of experience in marketing strategies for SaaS in the CpaaS B2B environment
 </li>
 <li>
 Hands-on in performance marketing and lead generation
 </li>
 <li>
 Knowledge of AI tools related to product marketing
 </li>
 <li>
 Familiarity with product marketing processes and techniques
 </li>
 <li>
 Ability to translate technical product features into business value for different industries
 </li>
 <li>
 Strong analytical skills with the ability to interpret data and market research
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Proficiency in marketing tools and software (e.g.: email marketing platforms, analytics tools)
 </li>
 <li>
 Understanding of digital marketing strategies (SEO, PPC, social media)
 </li>
 <li>
 Detail-oriented and organized, with strong project management skills
 </li>
 <li>
 Creative thinker with a willingness to learn and adapt
 </li>
 <li>
 Team player with strong interpersonal skills and the ability to collaborate effectively
 </li>
 </ul>
</div>

B2B Product Marketing Specialist

Microsoft

<div>
 
 Overview
 
 
 
 Our team uses the latest in Generative AI technologies to build models, solutions, and experiences to power search innovations in Microsoft Bing and Microsoft Copilot. We are looking for candidates eager to work on cutting-edge large-scale AI services to power the next-gen AI powered search. In particular, we are seeking candidates who are passionate about Deep Learning and latest AI technologies to light up related scenarios.
 
 
 The successful candidate will participate in collaborations with relevant product and business groups inside or outside of Microsoft and will provide expertise or technology to create business impact by bridging the gap between research (in Microsoft AI [MAI], other Microsoft divisions, or in the community) and the relevant product teams.
 
 
 The ideal candidate will work with limited guidance, to create product impact through deep knowledge of AI and ML and will continuously seek to acquire knowledge of industry trends and advances in applied AI/ML technologies. We are looking for Applied Scientists who can research and develop an understanding of relevant tools, technologies, and methods that can be utilized to improve product quality, performance, or efficiency, while reinforcing a positive &amp; inclusive environment by applying best practices, and producing high quality documentation of the work in progress, as well as experimentation results, and plans, along the way. An Applied Scientist should understand and follow ethics and privacy policies when executing research processes and/or collecting data/information.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a senior team member. Seeks guidance from senior team members when confronted with problems/challenges.
 </li>
 <li>
 Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a senior team member.
 </li>
 <li>
 Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of senior team members.
 </li>
 <li>
 Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a senior team member. Addresses models when that break, under the direction of others.
 </li>
 <li>
 Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Other Requirements
 
 
 
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
 
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions.
 </li>
 <li>
 Solid problem solving and debugging skills.
 
 </li>
 </ul>
 #MicrosoftAI
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Applied Scientist

Explore 160+ Ai product owner in Credit Digitalization Jobs In Cairo this January. Find roles across top companies and apply now to boost your career.

160 ai product owner jobs IN Credit Digitalization Jobs In Cairo

AI Product Owner

Product Manager

Senior Graphic Designer

Mid/Senior AI Developer

Product Manager

B2B Product Marketing Specialist

Applied Scientist