وظائف اختبار البرمجيات في الإمارات

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>SellAnyCar are on a journey to build the future of all things automotive.<br> We dream big, we aim big and we drive towards our goals. This mantra is why we are market leaders, why we are scaling and why we are competing for the best talent in Dubai and the world.</p><br><p>We, at SellAnyCar, are looking for someone who has worked in an agile environment in a product-led organization. Top incumbents will be insanely curious and hungry critical thinkers with a real passion for technology.&nbsp;</p><br><p>If you are a self-motivated doer with a passion for solving customer problems; join us now, be part of the dream.</p><br><br>Job Description<br><ul><li>Work as part of a cross functional team to help and lead the development of new features</li><li>Show off your code review, debugging and refactoring skills, taking advantage of every opportunity to make the codebase better</li><li>Contribute to application improvement &amp; optimization (through code audits, refactoring, caching, architecture changes).</li><li>Write DRY code while using various best practices</li><li>Help define requirements for new features and assist with Sprint planning&nbsp;</li><li>Work with business stakeholders in shaping, estimating and planning new requirements</li><li>Participate in regular showcases of new work to the product owners and business stakeholders</li><li>Strive for continuous improvement within the team</li><li>Passionate about building and optimizing&nbsp;performance</li><li>Ability to work in an Agile and high-paced environment</li><li>Happy to take technical leadership on project work</li><li>Work closely with the product team</li></ul><br>Qualifications<br><ul><li>BSc&nbsp;in&nbsp;computer&nbsp;science or&nbsp;equivalent experience</li><li>A&nbsp;minimum&nbsp;of 3&nbsp;years&nbsp;experience</li><li>Expert on PHP or Nodejs</li><li>PHP proficiency in large, scalable web applications</li><li>Experience with&nbsp;PHP frameworks ( Laravel, Symfony etc.).</li><li>Understanding of version control systems such as GIT.</li><li>Experience with Agile development and JIRA.</li><li>Basic understanding of Unix commands and environments.</li><li>Excellent English written and verbal communication skills.</li></ul><br>Additional Information<br><br> </div>

Machine Learning Engineer<br>Position: Machine Learning Engineer<br>Type: Hourly Contract<br>Compensation: $80–$140/hour<br>Location: Remote<br>About the Opportunity This opportunity is for experienced Machine Learning Engineers with expertise in Python, machine learning, data analysis, model development, and Mongo DB to contribute to advanced AI training and evaluation projects. You'll apply your technical expertise to design and refine machine learning solutions, analyze datasets, evaluate model performance, and develop reliable workflows that support the training and deployment of next-generation AI systems. Responsibilities Design, develop, and refine machine learning models using Python and relevant ML frameworks. Analyze and process large datasets for model training, validation, and evaluation. Use Mongo DB for efficient data storage, manipulation, querying, and retrieval. Develop and maintain data preprocessing and feature engineering pipelines. Evaluate model performance using appropriate metrics, benchmarking, and validation techniques. Perform hyperparameter tuning and iterative model optimization. Collaborate with cross-functional teams to identify opportunities for model and workflow improvements. Integrate data pipelines into training and inference workflows. Document experiments, methodologies, results, and technical decisions to ensure reproducibility. Provide actionable insights and recommendations based on machine learning and data-driven findings. Required Qualifications Professional experience working as a Machine Learning Engineer, ML Developer, Data Scientist, or similar role. Strong proficiency in Python and machine learning development. Hands-on experience with machine learning frameworks such as scikit-learn, Tensor Flow, or PyTorch. Practical experience using Mongo DB for data management and retrieval. Strong understanding of machine learning algorithms, model evaluation, and data preprocessing. Experience with feature engineering, hyperparameter tuning, and model benchmarking. Strong analytical and problem-solving abilities. Excellent written communication and technical documentation skills. Ability to work independently and collaborate effectively in a remote environment. Preferred Qualifications Experience deploying or operationalizing machine learning models in cloud or enterprise environments. Familiarity with ML pipelines, model serving, and inference workflows. Experience working with large-scale datasets and production ML systems. Knowledge of MLOps, model monitoring, or automated ML workflows. Experience contributing to AI training, model evaluation, or data-quality initiatives. Strong understanding of scalable data and machine learning architectures. Ability to adapt quickly to evolving technical requirements and project priorities. Compensation Competitive compensation of $80–$140/hour. Hourly contract engagement. Fully remote with flexible working arrangements. Opportunity to contribute to next-generation AI training and evaluation projects. Application Process Easy Apply on Linked InCheck Email for Next Steps Complete the required assessment based on your professional background Participate in the interview/evaluation stage Hiring team review

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.</span><br><span>Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.</span></p><br><p><span><strong><em>We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.</em></strong></span></p><br><br>About Careem<p>At Careem, our journey started with a simple purpose: to simplify and improve the lives of people in the Greater Middle East. From our beginnings as a ride-hailing service, we’ve grown into the region’s first Everything App, but our mission remains the same. We’re not just a tech company; we’re a team of builders, dreamers, and doers, working to create a better future for our region.</p><br>About the Role<p>Calling senior technology leaders to shape the future of engineering in the Middle East. We’re looking to connect with senior tech professionals who have built and scaled complex engineering systems, platforms, or infrastructure in high-growth tech environments. Your expertise is exactly what’s needed to shape the future of engineering culture and technical foundations in the region.</p><br><p>To be clear: this is a <strong>hands-on, individual-contributor leadership role</strong> — not a people-management position. We need someone who still writes code, designs systems, and leads through technical depth and execution, not through managing headcount.</p><br>Key Responsibilities<ul><li><strong>Lead Internal Engineering Initiatives:</strong> Personally design and build scalable, secure, and maintainable systems that accelerate engineering productivity and reliability across Careem.</li><li><strong>Architect Scalable Solutions:</strong> Define system architecture for complex backend systems with a focus on performance, modularity, and extensibility, leveraging deep expertise in Golang and modern platforms.</li><li><strong>Drive Impact in Data &amp;amp; AI:</strong> Apply machine learning, platformization, and agentic AI innovation to unlock new capabilities and improve customer experiences at scale.</li><li><strong>Product Mindset &amp;amp; Technical Influence:</strong> Shape roadmaps and drive technical decisions with a product-centric mindset, ensuring solutions directly impact customer and business outcomes.</li><li><strong>Technical Excellence &amp;amp; Culture:</strong> Set the bar for code quality, system design, testing, and operational excellence by writing and reviewing production code, and by example rather than management.</li><li><strong>Mentorship and Knowledge Sharing:</strong> Mentor engineers as a peer through pairing, code review, and design discussions, growing technical capability across the organization without formal reporting lines.</li><li><strong>Efficiency and Automation:</strong> Streamline workflows and reduce toil through automation in CI/CD, observability, and configuration management.</li><li><strong>Cross-functional Collaboration:</strong> Partner with other platforms, infrastructure, product, and security teams to deliver robust and aligned solutions.</li><li><strong>Long-term Vision &amp;amp; Purpose:</strong> Contribute to Careem’s mission of shaping the future of mobility, fintech, and everyday services in the region by building lasting technical foundations, hands-on.</li></ul><p>&amp;nbsp;</p><br>What we’ll provide you<p>We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:</p><br><ul><li>Work and learn from great minds by joining a community of inspiring colleagues.</li><li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li><li>Explore new opportunities to learn and grow every day.</li><li>Work 4 days a week in office &amp;amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)</li><li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul><p>&amp;nbsp;</p><br> </div>