senior / staff data scientist - recommendations / personalization systems Jobs in Jeddah

senior / staff data scientist - recommendations / personalization systems

senior data scientist

data scientist

senior / staff data scientist - generative ai Jobs in Jeddah

senior / staff data scientist - generative ai

senior data engineer

senior staff data scientist generative ai

SALLA

<div>We're building the future of commerce AI in the Middle East, powering millions of merchants with intelligent assistants and Gen AI that understands Arabic and English fluently. As our Senior/Staff Data Scientist for GenAI, you'll architect the brain behind our merchant and customer AI assistants, content generation suite, and conversational commerce platform.
This isn't just another chatbot role, you'll design cutting-edge agentic AI systems that can reason about inventory, write compelling Arabic marketing copy, troubleshoot merchant issues, and generate insights from millions of transactions. Your work will directly impact how merchants across the region run their businesses.
Responsibilities<ul>
<li>
Architect and implement LLM-based agentic systems including the customer support troubleshooting, analytics, and content-generation tools. 
</li><li>Build RAG pipelines combining structured and unstructured sources (knowledge base, FAQs, policies), optimizing for latency, factuality, and grounding. 
</li>Develop evaluation frameworks (LLM-as-a-judge, human-in-the-loop) to measure helpfulness, factual accuracy, coverage, and coherence. 
<li>
</li><li>Collaborate with product and UX teams to define prompt hierarchies, tool-calling logic, and conversational workflows that handle multi-turn reasoning. 
</li><li>Drive fine-tuning or parameter-efficient adaptation (LoRA, PEFT) of LLMs for commerce-specific reasoning and multilingual support (Arabic &amp; English). 
</li><li>Contribute to the GenAI Suite: product description generation, email and blog content creation, landing page design, and brand-aware tone control. 
</li><li>Lead experimentation on new LLM orchestration frameworks (LangGraph, semantic routers) and scalable deployment using Bedrock, SageMaker, or Vertex AI. 
</li><li>Mentor junior data scientists and define best practices for versioning, prompt evaluation, and observability (e.g., LangFuse, MLflow, Grafana).</li>
</ul><ul><li>
Nice to have: Fluency in Arabic, prior work on multilingual NLP, or marketplace / SaaS platform experience.</li></ul>
Requirements<h3 class="jobSectionHeader">
Requirements</h3><ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a quantitative discipline. 
</li><li>5+ years of experience in applied ML/NLP, including 2+ years building and deploying LLM-based systems in production. 
</li><li>Proven impact: Delivered or scaled LLM products serving 100K+ users or handling 1M+ queries per day. 
</li><li>Technical depth: Solid understanding of transformer architectures, RAG design and optimization, prompt engineering, and LLM evaluation techniques. 
</li><li>Systems thinking: Experience with distributed systems, async workflows, vector search, and caching strategies for latency-sensitive workloads. 
</li><li>Commerce awareness: Familiarity with e-commerce metrics, merchant pain points, and marketplace platform dynamics. 
</li><li>Communication: Comfortable translating complex ML systems into actionable insights for non-technical and leadership stakeholders.</li></ul></div>

Senior / Staff Data Scientist - Generative AI

Salla

<div>
 We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing
 </li>
 <li>
 Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices
 </li>
 <li>
 Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources
 </li>
 <li>
 Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling
 </li>
 <li>
 Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs
 </li>
 <li>
 Design new service offerings and solutions in E-Commerce and different fields
 </li>
 <li>
 Keep up to date with latest trends and technologies in the data science and ML fields
 </li>
 <li>
 Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues
 </li>
 <li>
 Work closely with Business Analysts and product development teams to understand and implement their requirements
 </li>
 <li>
 Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions
 </li>
 <li>
 Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred
 </li>
 <li>
 At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling)
 </li>
 <li>
 Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
 </li>
 <li>
 Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred)
 </li>
 <li>
 Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications
 </li>
 <li>
 Experience in Deep Learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-
 </li>
 <li>
 Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn)
 </li>
 <li>
 Excellent in Algorithms and Object-Oriented programming
 </li>
 <li>
 Familiarity with database technology (design and implementation) and query language
 </li>
 <li>
 Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred
 </li>
 <li>
 Strong organizational and project management skills
 </li>
 <li>
 Good problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Senior Data Scientist

<div>We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.<h3 class="jobSectionHeader"> 
Responsibilities</h3><ul>
<li>Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing.</li>
<li>Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices.</li>
<li>Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources.</li>
<li>Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling.</li>
<li>Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs.</li>
<li>Design new service offerings and solutions in E-Commerce and different fields.</li>
<li>Keep up to date with latest trends and technologies in the data science and ML fields.</li>
<li>Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues.</li>
<li>Work closely with Business Analysts and product development teams to understand and implement their requirements.</li>
<li>Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions.</li>
<li>Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred.</li>
<li>At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling).</li>
<li>Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms.</li>
<li>Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred).</li>
<li>Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications.</li>
<li>Experience in Deep Learning algorithms and techniques.</li>
<li>Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-</li>
<li>Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn).</li>
<li>Excellent in Algorithms and Object-Oriented programming.</li>
<li>Familiarity with database technology (design and implementation) and query language.</li>
<li>Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred.</li>
<li>Strong organizational and project management skills.</li>
<li>Good problem-solving skills.</li>
<li>Excellent communication and presentation skills</li>
</ul>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Al-Ahli Club Company

<div>
 
 The Mental Coach Trainee supports the Mental Coach in delivering mental performance services to players across all age groups. The role focuses on assisting with assessments, session preparation, data tracking, and administrative tasks while gaining practical experience in applied sport psychology within a professional football environment.
 
 
 
 
 
 
 Player Support &amp; Session Assistance
 
 
 <ul>
 <li>
 Assist the Mental Coach in preparing and organizing individual and group mental training sessions.
 </li>
 <li>
 Support in implementing mental skills programs (e.g., confidence, focus, resilience, visualization).
 </li>
 <li>
 Help in coordinating session schedules with coaches and players.
 </li>
 </ul>
 
 
 Assessment &amp; Data Management
 
 
 <ul>
 <li>
 Support in conducting basic psychological assessments under supervision.
 </li>
 <li>
 Assist in recording, tracking, and organizing player wellbeing, mood, and performance-related data.
 </li>
 <li>
 Prepare summaries or observation notes for the Sport Psychologist.
 </li>
 </ul>
 
 
 Reporting &amp; Documentation
 
 
 <ul>
 <li>
 Help develop presentation materials, session reports, and educational content for players and staff.
 </li>
 <li>
 Maintain confidential records in accordance with club standards and ethical guidelines.
 </li>
 <li>
 Support in preparing reports for technical staff (e.g., weekly wellbeing updates).
 </li>
 </ul>
 
 
 Research &amp; Learning
 
 
 <ul>
 <li>
 Conduct basic research on relevant topics (motivation, recovery, mindset, stress management).
 </li>
 <li>
 Observe professional sessions to learn practical methods used in elite sports environments.
 </li>
 <li>
 Participate in internal workshops and learning activities.
 </li>
 </ul>
 
 
 Coordination &amp; Administrative Duties
 
 
 <ul>
 <li>
 Assist in arranging workshops, seminars, and player education sessions.
 </li>
 <li>
 Coordinate with medical, coaching, and performance departments for information gathering.
 </li>
 <li>
 Support the scheduling of appointments and follow-ups with players.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Skills:
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Psychology
 
 ,
 
 Sport Psychology
 
 ,
 
 Sports Science
 
 , or related field (required).
 </li>
 <li>
 Ongoing postgraduate studies or certification in Sport Psychology is an advantage.
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 0&ndash;1 years of experience in psychology, coaching, or internships in sports settings.
 </li>
 <li>
 Previous voluntary work with athletes, teams, or academic research is a plus.
 </li>
 </ul>
 
 
 Skills:
 
 
 <ul>
 <li>
 Basic understanding of psychological principles (motivation, confidence, behavior patterns).
 </li>
 <li>
 Familiarity with wellbeing assessments or athlete monitoring tools is beneficial.
 </li>
 <li>
 Ability to observe and record behavioral/mental indicators accurately.
 </li>
 <li>
 Ability to work with diverse age groups (youth to senior players).
 </li>
 <li>
 High level of confidentiality, empathy, and professionalism.
 </li>
 </ul>
 
 
</div>

Mental Coach (Trainee)

SAUDI AIRLINES

<div>
 
 
 Job Summary
 
 
 
 
 
 
 Develop and maintain scalable backend systems and APIs to enable AI-driven personalization. Collaborate with cross-functional teams to integrate enterprise systems, deploy ML models, and ensure performance, security, and compliance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 API &amp; Microservices Development:
 
 Build robust, scalable APIs and microservices to support AI orchestration and personalization logic.
 </li>
 <li>
 
 Real-Time Processing:
 
 Ensure low-latency, real-time decision-making and personalization delivery across web, mobile, email, and call center channels.
 </li>
 <li>
 
 System Integration:
 
 Integrate backend services with airline booking engines, pricing systems, CRM platforms, and other enterprise applications.
 </li>
 <li>
 
 ML Model Deployment:
 
 Collaborate with data scientists to productionize machine learning models and integrate them into backend workflows.
 </li>
 <li>
 
 Performance Optimization:
 
 Optimize backend systems for scalability, fault tolerance, and security.
 </li>
 <li>
 
 Data Management:
 
 Implement efficient strategies for handling large-scale, distributed data systems, including caching and database tuning.
 </li>
 <li>
 
 Compliance &amp; Security:
 
 Ensure adherence to security best practices, data privacy regulations, and airline/travel compliance standards.
 </li>
 <li>
 
 Agile Collaboration:
 
 Participate in Agile SAFe ceremonies, code reviews, and continuous improvement initiatives.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Proficiency in
 
 Node.js
 
 ,
 
 Java Spring Boot
 
 , and
 
 Python FastAPI/Flask
 
 .
 </li>
 <li>
 Strong knowledge of
 
 REST
 
 ,
 
 GraphQL
 
 , and event-driven architecture.
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS/GCP/Azure),
 
 microservices
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Familiarity with airline/travel APIs and PSS systems (preferred).
 </li>
 <li>
 Understanding of
 
 CI/CD pipelines
 
 , Git, and backend security best practices.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Software Engineering, or a related field.
 </li>
 </ul>
 
 
</div>

Senior Backend Developer

Balloora | بلورة

<div>
 
 Company Description
 
 
 
 Balloora is a creative tech company at the forefront of storytelling, strategy, and digital innovation. With offices in Riyadh, Amman, and Cairo, we empower brands across the MENA region to grow, connect, and inspire by delivering impactful creative campaigns, cutting-edge digital platforms, and immersive experiences. Our expertise spans branding, AI-driven tools, and innovative solutions that shape trends and drive market change. At Balloora, we strive to make a meaningful impact through creativity and technology.
 
 
 
 Role Description
 
 
 
 Balloora is seeking a Senior Graphic Designer for a temporary hybrid role based in Jeddah, with flexibility for partial remote work. The Senior Graphic Designer will be responsible for developing and delivering high-quality graphic designs, creating logos, refining branding strategies, and working on engaging visual solutions. This role also involves managing typography elements and collaborating with cross-functional teams to align designs with campaign objectives.
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficiency in Graphics, Graphic Design, and Logo Design
 </li>
 <li>
 Strong experience with Branding and Typography
 </li>
 <li>
 Excellent attention to detail and a strong creative vision
 </li>
 <li>
 Proven ability to meet deadlines and manage multiple design projects
 </li>
 <li>
 Familiarity with design software and tools (e.g., Adobe Creative Suite)
 </li>
 <li>
 Bachelor&rsquo;s degree in Graphic Design, Visual Arts, or a related field preferred
 </li>
 <li>
 Experience in designing for digital platforms is a plus
 </li>
 </ul>
</div>

Senior Graphic Designer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder led, profitable and growing.
 
 
 We are hiring engineering leaders to work across the breadth of our Ubuntu Engineering organisation - leaders who care deeply for quality, performance and resilience in software, and have a proven track record for building, nurturing and developing high performing engineering teams.
 
 
 This leadership track includes roles for managers and Senior+ engineers alike. At Canonical, managers are expected to stay technical and close to the code, and our Senior+ engineers lead and develop software projects, as well as the processes and people around them.
 
 
 Our teams integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world's most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments.
 
 
 The four key teams that ship Ubuntu are the
 
 
 <ul>
 <li>
 
 Foundations
 
 : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities
 </li>
 <li>
 
 Server:
 
 leading the design, evolution and future of our Ubuntu Server distribution
 </li>
 <li>
 
 Desktop:
 
 driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter
 </li>
 <li>
 
 Debcrafters:
 
 a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today
 
 
 </li>
 </ul>
 You'll be accountable for your technical roadmap, and responsible for your team: helping them grow as engineers, do important and satisfying work, and have a great time while doing it. Technical leadership experience and a background in software engineering are necessary prerequisites for this role. You will be expected to lead, challenge, and develop strong engineers, positively influence the culture, facilitate technical delivery, and work with your team on strategy and execution
 
 
 At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies
 
 
 
 Location
 
 : We have remote roles open in every time zone.
 
 
 
 The role entails
 
 
 
 Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our leads are:
 
 
 <ul>
 <li>
 Leading their teams in elevating the Linux developer and user experience
 </li>
 <li>
 Designing, building and shipping high quality, performant software in Rust, Go and Python
 </li>
 <li>
 Demonstrating sound engineering principles through architecture, development and code reviews
 </li>
 <li>
 Taking responsibility for planning, estimation and execution
 </li>
 <li>
 Working with product management to define the vision and strategy for Ubuntu
 </li>
 <li>
 Setting expectations with other engineering teams, senior management, and external stakeholders
 </li>
 <li>
 Offering coaching, mentoring, technical feedback and hands-on career development
 </li>
 <li>
 Contributing to upstream and neighboring open source projects
 </li>
 <li>
 Optimizing the distribution for performance, reliability, and security
 </li>
 <li>
 Debugging complex system-level issues and delivering robust solutions
 </li>
 <li>
 Authoring and improving technical and community documentation
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 An exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
 </li>
 <li>
 Ability to drive and deliver technical work streams going above and beyond expectations
 </li>
 <li>
 Lead and coach others to deliver exceptional engineering work
 </li>
 <li>
 A demonstrated passion for open source software
 </li>
 <li>
 Significant experience with Rust, Go, Python, Flutter or C/C++
 </li>
 <li>
 Professional written and spoken English
 </li>
 <li>
 Excellent communication and interpersonal skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks each
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Experience contributing to or leading open source projects
 </li>
 <li>
 Experience with Linux distributions/distribution engineering
 </li>
 <li>
 Experience with software packaging and distribution mechanisms
 </li>
 <li>
 Performance or Security Engineering experience
 
 
 </li>
 </ul>
 
 What we offer you
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
</div>

Ubuntu Engineering Lead

Explore 206+ Senior staff data scientist generative ai in Jeddah this December. Find roles across top companies and apply now to boost your career.

206 senior staff data scientist generative ai jobs IN Jeddah

Senior / Staff Data Scientist - Generative AI

Senior Data Scientist

Senior Data Scientist

Mental Coach (Trainee)

Senior Backend Developer

Senior Graphic Designer

Ubuntu Engineering Lead