project engineer

estimation engineer

sales engineer

mechanical engineer

mep engineer

machine learning engineer

Zainlee Technologies

About: Zainlee Technologies is a fast-growing innovation-driven tech company based in Dubai, dedicated to delivering cutting-edge solutions in Artificial Intelligence, Machine Learning, Data Science, and Digital Transformation. We empower businesses across industries by integrating smart, scalable, and data-driven technologies into their operations.Position Overview: We are seeking a talented and motivated AI Engineer with more than 4 years of hands-on experience in AI/ML development. The ideal candidate will have strong programming skills in Python, a solid understanding of machine learning algorithms, and the ability to build and deploy scalable AI solutions. You will work closely with our Data Science, Product, and Engineering teams to drive innovation and solve real-world problems using AI.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML models and algorithms for real-world applications.</li><li>AI &amp; CV Model Development: Own the full lifecycle of vision&#8209;language models&mdash;data collection/annotation, architecture selection (e.g. ResNet, ViT, CLIP), training, fine&#8209;tuning, evaluation, and A/B testing.</li><li>Production Deployment &amp; Monitoring: Containerize inference services (ONNX, Tensor RT, Triton), ensure real&#8209;time performance (&lt;100&#8239;ms), set up CI/CD, and monitor drift (map, IoU) with automated retraining triggers.</li><li>Scalable Data &amp; Serving Pipelines: Architect ETL for large&#8209;scale image/video pre-processing and augmentation (Spark, Ray); design auto&#8209;scaling Kubernetes clusters for 24/7 inference.</li><li>Cross&#8209;Functional Integration: Translate product/UX needs (visual search, OCR, anomaly detection) into specs, build interactive demos, and align with DevOps on GPU scheduling, storage, and secure model registries.</li><li>Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.</li><li>Optimize and scale models for performance, accuracy, and deployment.</li><li>Work with large-scale datasets to train, test, and validate machine learning models.</li><li>Conduct research and stay up to date with the latest trends and advancements in AI/ML.</li><li>Develop APIs and integrate AI services into applications or platforms.</li><li>Perform model monitoring, performance tracking, and continuous improvement.</li><li>Contribute to technical documentation and internal knowledge sharing.</li></ul>Required Qualifications:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related fields.</li><li>2&ndash;3 years of professional experience in AI/ML engineering.</li><li>Proficiency in Python and popular AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy.</li><li>Experience in data pre-processing, feature engineering, and model evaluation techniques.</li><li>Strong understanding of supervised and unsupervised learning techniques.</li><li>Experience with RESTful APIs and model deployment frameworks (e.g., Flask, FastAPI, Docker).</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) for model deployment is a plus.</li><li>Familiarity with tools like Jupiter, Git, and CI/CD workflows.</li></ul>Preferred Skills:<ul><li>Experience with NLP, Computer Vision, or Time-Series Analysis.</li><li>Knowledge of databases (SQL/NoSQL) and data pipelines.</li><li>Familiarity with MLOps practices and tools.</li><li>Good problem-solving skills and analytical mindset.</li><li>Strong communication and teamwork skills.</li></ul>What We Offer:<ul><li>Competitive salary.</li><li>Opportunity to work on cutting-edge AI technologies and projects.</li><li>Dynamic and collaborative team environment.</li><li>Career growth and skill development opportunities.</li><li>Flexible working culture with a focus on innovation.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Dubai: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Are you willing to join immediately?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI/ML: 2 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>

AI Engineer

Virtusa

<div>
 
 Technical Skills Are As Below
 
 
 
 
 Core Python:
 
 Should be proficient in the basic concepts and features of the Python language, such as data types, variables, operators, control structures, functions, classes, modules, exceptions, file handling, etc. You should also be familiar with the built-in data structures and methods, such as lists, tuples, dictionaries, sets, strings, etc
 
 
 
 Web Frameworks:
 
 Should have a sound knowledge of one or more web frameworks that are based on Python, such as
 
 P, Flask, Pyramid
 
 , etc. These frameworks provide tools and libraries to help you create web applications using Python. You should know how to use the framework's features, such as routing, templating, database integration, authentication, testing, etc
 
 
 
 Object Relational Mappers (ORMs
 
 ): Should be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are
 
 SQLAlchemy, Django ORM, Peewee, etc
 
 . You should know how to define models, perform CRUD operations, query data, handle transactions, etc
 
 
 
 Data Science and Machine Learning:
 
 Should have some skills in data science and machine learning, as these are some of the most common use cases for Python. You should be able to use libraries and frameworks such as
 
 NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch,
 
 etc. to perform data analysis, manipulation, visualization, and modeling. You should also have a good understanding of the basic concepts and algorithms of statistics, machine learning, and deep learning
 
 
 
 Other Skills:
 
 Should also have some general skills that are useful for any developer, such as:
 
 
 
 Debugging and testing:
 
 Should be able to use tools and techniques to find and fix errors in your code, such as logging, breakpoints, unit testing, integration testing, etc
 
 
 
 Version control:
 
 Should be able to use version control systems, such as Git, to manage your code and collaborate with other developers. You should know how to create branches, commit changes, merge conflicts, push and pull requests, etc
 
 
 
 Communication and teamwork
 
 : Should be able to communicate effectively with your clients, stakeholders, and colleagues, and work well in a team. You should be able to write clear and concise documentation, follow coding standards and best practices, give and receive feedback, etc
</div>

Python Developer

Whiteshield

<div>We are seeking a data scientist to leverage AI and Machine Learning to deliver actionable insights for government agencies and private sector clients. The role involves a strong emphasis on AI-driven methodologies.
Reporting To: AI Economics Lead
Why Join Us?
At Whiteshield, we are at the forefront of data-driven policy advisory, leveraging cutting-edge analytics, AI, and economic expertise to tackle complex global challenges. What Whiteshield offers:<ul><li>Work on High-Impact Projects: Influence national policies, global rankings, and large-scale economic strategies.</li><li>Cutting-Edge Data Science &amp; AI Applications: Utilize advanced analytics, machine learning, and geospatial AI to solve policy and economic challenges.</li><li>Exposure to Senior Stakeholders: Collaborate with government leaders, international organisations, and business executives.</li><li>Fast-Paced &amp; Collaborative Environment: Work alongside top-tier professionals in a dynamic, multidisciplinary team where innovation and intellectual curiosity thrive.</li><li>Career Growth &amp; Development: Access mentorship, learning opportunities, and a clear progression path in a firm that values expertise and continuous improvement.</li><li>Global Perspective, Local Impact: Contribute to solving global economic challenges while making a tangible impact globally.</li></ul>
If you are passionate about using data science to drive economic policy and innovation, Whiteshield offers an unparalleled platform to make a real difference.
Key Responsibilities<ul><li>AI Analysis &amp; Modelling: Apply machine learning, econometrics, and statistical techniques to extract insights from large datasets.</li><li>Data Engineering &amp; Processing: Clean, structure, and transform large-scale datasets from various sources for analysis.</li><li>Automation &amp; Optimization: Develop scripts, pipelines, and dashboards to automate data workflows and improve efficiency in policy analysis.</li><li>Stakeholder Engagement &amp; Communication: Present complex data findings to senior government officials, policymakers, and executives in a clear and actionable manner.</li><li>Geospatial &amp; AI-Driven Insights: Use satellite imagery, geospatial AI, and predictive analytics to assess infrastructure development and urban expansion.</li></ul>
Requirements<ul><li>Expertise in Python</li><li>Strong experience with AI and machine learning</li><li>Experience in working with large datasets</li><li>Strong capability to articulate technical findings to non-technical stakeholders through reports, visualisations, and presentations</li><li>Strong problem-solving skills with a structured approach to tackling technical and analytical challenges.</li><li>Ability to translate complex data insights into actionable policy recommendations.</li></ul><h3 class="jobSectionHeader">
Personal Attributes
</h3><ul><li>Problem Solving: Proven ability to troubleshoot and resolve complex data analysis and modelling challenges, ensuring robust and scalable solutions.</li><li>Analytical Mindset: Ability to dissect complex datasets and extract meaningful patterns, trends, and business insights that drive data-driven decision-making.</li><li>Agility: Adaptable to shifting priorities, evolving data requirements, and fast-paced project timelines, ensuring continuous improvement in analytical approaches.</li><li>People-Oriented: Builds strong cross-functional relationships while maintaining individual authenticity, fostering collaboration across technical and non-technical teams.</li><li>Empowerment: Takes ownership of projects, proactively makes data-driven decisions, and initiates innovative internal solutions to enhance analytical frameworks.</li><li>Work Ethic: Upholds a culture of integrity, transparency, and accountability while striving for technical excellence and impactful contributions.</li></ul><h3 class="jobSectionHeader">
Qualifications
</h3><ul><li>Education: Bachelor's/Master&rsquo;s degree in Data Science, Statistics, Economics, Computer Science, or a related field.</li><li>Experience: 2+ years of experience in data science, with a focus on data analysis, statistical modelling, and machine learning.</li></ul>
Benefits
Our Commitment to Equal Opportunities: At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.
Celebrating Achievements: At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.
Empowering Our People: At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</div>

Whiteshield Data Scientist - AI Economics Unit

Capgemini

<div><div><div><div><h2 class="jobSectionHeader">About the job you are considering
</h2></div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
</div></div><div><div><h2 class="jobSectionHeader">Your Role
</h2></div><div><ul><li>Model Configuration &amp; Fine-Tuning: Design, implement, and optimize machine learning models by tailoring architecture and hyperparameters to meet specific project requirements. Employ advanced fine-tuning techniques to maximize model performance on specialized data sets, ensuring models are robust, efficient, and production ready.
</li><li>AML Pipeline Development: Architect, develop, and maintain automated machine learning (AML) pipelines that streamline data ingestion, preprocessing, model training, evaluation, and deployment. Utilize best practices to ensure scalability, modularity, and traceability in all pipeline components, enabling rapid experimentation and reproducibility.
</li><li>Accuracy Optimization: Apply state-of-the-art methodologies to optimize the accuracy and efficacy of machine learning solutions. Conduct comprehensive error analyses, implement advanced feature engineering, leverage transfer learning, and perform model ensembling to achieve superior predictive performance.
</li><li>Integration with Confidential Compute Pattern: Collaborate with security and cloud teams to ensure all AI/ML models are integrated with confidential computing environments. Safeguard sensitive data and model assets by designing privacy-preserving architectures using secure enclaves, federated learning, and encryption-in-use techniques.
</li><li>Collaboration &amp; Stakeholder Engagement: Partner with business analysts, data scientists, engineers, and stakeholders to translate business objectives into actionable AI/ML solutions. Communicate complex technical concepts in a clear and accessible manner to both technical and non-technical audiences.
</li><li>Continuous Learning &amp; Innovation: Stay abreast of the latest developments in AI/ML research, tools, and frameworks. Identify opportunities to incorporate cutting-edge techniques into project workstreams, fostering a culture of continuous improvement and innovation.
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Your Skills and Experience
</h2></div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a closely related field. PhD is a plus.
</li><li>Proven experience in configuring, fine-tuning, and deploying machine learning models (both supervised and unsupervised).
</li><li>Strong proficiency in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-Learn, Keras, and XGBoost.
</li><li>Hands-on experience with building and managing end-to-end AML pipelines using tools like Azure ML, MLflow, Kubeflow, or similar.
</li><li>Expertise in hyperparameter optimization, cross-validation, and model selection for maximizing accuracy.
</li><li>Solid understanding of security principles, especially in confidential computing, data encryption, and federated learning.
</li><li>Familiarity with cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
</li><li>Strong analytical and problem-solving skills with the ability to troubleshoot complex data and model issues.
</li><li>Excellent communication and presentation skills, with experience working in collaborative, multidisciplinary teams.
</li><li>Proactive, curious, and adaptable, with a continuous learning mindset. 
</li></ul>Preferred Skills
<ul><li>Experience implementing AI/ML solutions in regulated industries (e.g., finance, healthcare, government) where data privacy is paramount.
</li><li>Knowledge of secure multi-party computation, homomorphic encryption, or privacy-enhancing technologies.
</li><li>Exposure to MLOps, CI/CD for ML, and production-grade ML systems.
</li><li>Background in optimization algorithms, reinforcement learning, or generative models
</li></ul></div></div><div><div><h2 class="jobSectionHeader">Why you should consider Capgemini
</h2></div><div>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is. 
</div></div><div><div><h2 class="jobSectionHeader">About Capgemini 
</h2></div><div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
#GetTheFutureYouWant | www.capgemini.com</div></div></div></div>

AI/ML Engineer

<div>Technical skills are as below:
Core Python: Should be proficient in the basic concepts and features of the Python language, such as data types, variables, operators, control structures, functions, classes, modules, exceptions, file handling, etc. You should also be familiar with the built-in data structures and methods, such as lists, tuples, dictionaries, sets, strings, etc
Web Frameworks: Should have a sound knowledge of one or more web frameworks that are based on Python, such as P, Flask, Pyramid, etc. These frameworks provide tools and libraries to help you create web applications using Python. You should know how to use the framework's features, such as routing, templating, database integration, authentication, testing, etc
Object Relational Mappers (ORMs): Should be able to use ORMs to interact with databases using Python objects. ORMs abstract away the low-level SQL queries and provide a high-level interface to manipulate data. Some popular ORMs for Python are SQLAlchemy, Django ORM, Peewee, etc. You should know how to define models, perform CRUD operations, query data, handle transactions, etc
Data Science and Machine Learning: Should have some skills in data science and machine learning, as these are some of the most common use cases for Python. You should be able to use libraries and frameworks such as NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, etc. to perform data analysis, manipulation, visualization, and modeling. You should also have a good understanding of the basic concepts and algorithms of statistics, machine learning, and deep learning
Other Skills: Should also have some general skills that are useful for any developer, such as:
Debugging and testing: Should be able to use tools and techniques to find and fix errors in your code, such as logging, breakpoints, unit testing, integration testing, etc
Version control: Should be able to use version control systems, such as Git, to manage your code and collaborate with other developers. You should know how to create branches, commit changes, merge conflicts, push and pull requests, etc
Communication and teamwork: Should be able to communicate effectively with your clients, stakeholders, and colleagues, and work well in a team. You should be able to write clear and concise documentation, follow coding standards and best practices, give and receive feedback, etc
<div>About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

ICB LABS FZCO

ICB Labs is a dynamic blockchain ecosystem integrating NFTs, DeFi, and metaverse technologies to revolutionize how businesses and individuals interact with the digital world.ICB Labs is more than just a blockchain company it is a visionary hub where traditional industries seamlessly connect with Web3 technologies. We believe in the power of decentralization to foster innovation, transparency, and financial inclusivity. Our ecosystem is designed to empower users with accessible, efficient, and future-ready blockchain solutions.Key Responsibilities<ul><li>Develop, train, and fine-tune machine learning models for various use cases (e.g., NLP, computer vision, recommendation</li></ul>systems, etc.)<ul><li>Analyze large datasets to extract insights and prepare data for model training</li><li>Research and implement state-of-the-art algorithms in AI and deep learning</li><li>Build scalable and efficient model pipelines for production use</li><li>Monitor, test, and improve model performance and accuracy over time</li><li>Collaborate with data engineers and software developers to deploy models into production environments</li><li>Document processes, models, and decisions for technical transparency and reproducibility.</li></ul><ul><li>Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face</li></ul><ul><li>Hands-on experience in training models using supervised, unsupervised, or reinforcement learning</li></ul><ul><li>Solid understanding of machine learning fundamentals: feature engineering, model evaluation, overfitting, cross-validation</li></ul><ul><li>Experience with data preprocessing, cleaning, and transformation</li></ul><ul><li>Familiarity with version control tools (e.g., Git) and experiment tracking tools (e.g., MLflow, Weights &amp; Biases)</li></ul><ul><li>Ability to write clean, scalable, and efficient code</li></ul><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li></ul>Preferred Skills<ul><li>Experience with cloud platforms (AWS, GCP, Azure) for AI/ML model deployment</li></ul><ul><li>Knowledge of MLOps tools and practices (Docker, Kubernetes, CI/CD pipelines)</li></ul><ul><li>Experience working with unstructured data (text, image, audio)</li></ul><ul><li>Understanding of large language models (LLMs), transformers, or generative AI systems</li></ul><ul><li>Contribution to open-source ML projects or published research in AI conferences (nice to have)</li></ul>Job Type: Full-timePay: AED8,000.00 - AED15,000.00 per month

NFT Talent

The Role
 ICB Labs is a dynamic blockchain ecosystem integrating NFTs, DeFi, and metaverse technologies to revolutionize how businesses and individuals interact with the digital world. ICB Labs is more than just a blockchain company it is a visionary hub where traditional industries seamlessly connect with Web3 technologies. We believe in the power of decentralization to foster innovation, transparency, and financial inclusivity. Our ecosystem is designed to empower users with accessible, efficient, and future-ready blockchain solutions. Key Responsibilities • Develop, train, and fine-tune machine learning models for various use cases (e.g., NLP, computer vision, recommendation systems, etc.) • Analyze large datasets to extract insights and prepare data for model training • Research and implement state-of-the-art algorithms in AI and deep learning • Build scalable and efficient model pipelines for production use • Monitor, test, and improve model performance and accuracy over time • Collaborate with data engineers and software developers to deploy models into production environments • Document processes, models, and decisions for technical transparency and reproducibility
 
Requirements
 <ul>
<li>Strong programming skills in Python and experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face • Hands-on experience in training models using supervised, unsupervised, or reinforcement learning • Solid understanding of machine learning fundamentals: feature engineering, model evaluation, overfitting, cross-validation • Experience with data preprocessing, cleaning, and transformation • Familiarity with version control tools (e.g., Git) and experiment tracking tools (e.g., MLflow, Weights & Biases) • Ability to write clean, scalable, and efficient code • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field Preferred Skills • Experience with cloud platforms (AWS, GCP, Azure) for AI/ML model deployment • Knowledge of MLOps tools and practices (Docker, Kubernetes, CI/CD pipelines) • Experience working with unstructured data (text, image, audio) • Understanding of large language models (LLMs), transformers, or generative AI systems • Contribution to open-source ML projects or published research in AI conferences (nice to have)</li>
</ul>
About the company
 The premier marketplace for NFTs, where art, technology, and community converge to create a new era of digital ownership. Together, let's embark on a journey to discover, collect, and create the talents of the NFT universe.

Explore 1144+ Machine learning engineer in Dubai this September. Find roles across top companies and apply now to boost your career.

1144 machine learning engineer jobs IN Dubai

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Whiteshield Data Scientist - AI Economics Unit

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