estimation engineer

project engineer

qs engineer

sales engineer

mechanical engineer

machine learning engineer

Huxley

<div>
 
 
 Hi all,
 
 
 
 
 Job Description: Senior Data Scientist - AI/ML Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 Are you a seasoned Data Scientist with deep expertise in AI/ML engineering and a passion for building scalable, intelligent solutions? Join our team as a Senior Data Scientist - AI/ML Engineer and play a pivotal role in designing, deploying, and optimizing advanced machine learning models for real-world applications.
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Minimum of
 
 5-7 years
 
 of hands-on experience in data science, machine learning model development, and deployment.
 </li>
 <li>
 Proven expertise in
 
 Azure ML
 
 ,
 
 Dataiku
 
 , and
 
 Azure OpenAI
 
 ; experience with other
 
 LLMs
 
 is a strong plus.
 </li>
 <li>
 Strong programming and coding skills, particularly in
 
 Python
 
 , with deep knowledge of
 
 Pandas
 
 and
 
 NumPy
 
 .
 </li>
 <li>
 Advanced proficiency in deep learning frameworks such as
 
 TensorFlow
 
 and
 
 PyTorch
 
 .
 </li>
 <li>
 Experience in building, training, and fine-tuning ML models for classification, regression, NLP, and generative tasks.
 </li>
 <li>
 Familiarity with MLOps practices, including model versioning, monitoring, and CI/CD pipelines.
 </li>
 <li>
 Experience with cloud-based AI services and deployment on
 
 Azure
 
 .
 </li>
 <li>
 Solid understanding of statistics, data wrangling, feature engineering, and model evaluation techniques.
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams and translate business needs into technical solutions.
 </li>
 <li>
 Master's or PhD in Data Science, Computer Science, Machine Learning, Mathematics, or a related field.
 
 
 </li>
 </ul>
 Responsibilities:
 
 
 
 
 AI/ML Model Development:
 
 
 Design, develop, and optimize machine learning models using Azure ML, Dataiku, and Python-based frameworks. Apply deep learning techniques for NLP, computer vision, and predictive analytics.
 
 
 
 Cloud-Based Deployment:
 
 
 Deploy models on Azure cloud infrastructure, ensuring scalability, performance, and reliability. Integrate models into enterprise platforms and data pipelines.
 
 
 
 Data Engineering &amp; Feature Design:
 
 
 Work with large datasets to perform data cleaning, transformation, and feature engineering. Collaborate with data engineers to ensure robust data pipelines.
 
 
 
 Model Monitoring &amp; Optimization:
 
 
 Implement monitoring systems for model performance and drift. Continuously improve models through retraining, hyperparameter tuning, and architecture enhancements.
 
 
 
 Collaboration &amp; Code Quality:
 
 
 Collaborate with software engineers and business stakeholders to deliver production-grade solutions. Write clean, maintainable code and participate in code reviews.
 
 
 
 Education &amp; Experience:
 
 
 <ul>
 <li>
 Master's or PhD in a relevant field.
 </li>
 <li>
 Demonstrated experience in deploying AI/ML solutions in enterprise environments.
 </li>
 <li>
 Strong communication and problem-solving skills.
 </li>
 <li>
 Experience in sectors such as finance, healthcare, or energy is a plus.
 </li>
 </ul>
 
 If you are passionate about building intelligent systems, optimizing ML pipelines, and solving complex data challenges, apply now and be part of our AI-driven journey.
 
 
 If interested, please revert with your updated CV in Word format to
 
 y[dot]elmkadem[at]huxley[dot]com
 
 and I will get back to you.
 
 
 Referrals and recommendations are more than welcome !
 
 
 
 Kind regards,
 
 
 
 Youness
 
 
 
 
 Let op: vacaturefraude
 
 
 
 
 Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
 
 * Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
 
 * Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de offici&euml;le contactgegevens op onze website.
 
 
 
 Important: job fraud
 
 
 
 Unfortunately, job fraud is becoming more common. Beware of such scams:
 
 * We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
 
 * If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.
 
</div>

Senior Data Scientist - AI/ML Engineer

Presight

<div>
 
 Overview
 
 
 
 About Presight
 
 
 Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region&rsquo;s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.
 
 
 
 The Opportunity
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a strong focus on Generative AI solutions. The ideal candidate will have extensive experience in designing, developing, and deploying Generative AI use cases both on-premises and on cloud platforms. This role requires proficiency in working with GPUs for scalable solutions, as well as expertise in Agentic AI, Generative AI, and related frameworks.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy Generative AI models and solutions on both on-premises and cloud platforms.
 </li>
 <li>
 Lead end-to-end Generative AI projects, from ideation, finetuning, evaluation, to deployment.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate Generative AI solutions into existing systems and workflows.
 </li>
 <li>
 Continuously monitor and improve the performance of deployed models through rigorous testing and validation.
 </li>
 <li>
 Provide technical leadership and mentorship to junior data scientists and engineers.
 </li>
 <li>
 Stay up-to-date with the latest advancements in Generative AI and related technologies and apply them to solve complex business problems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Must-Have Skills:
 
 
 <ul>
 <li>
 Bachelor's Degree in Artificial Intelligence, Business Analytics, Data Science, Computer Science, Mathematics, Engineering or related field.
 </li>
 <li>
 Master/PhD in Computer Science/ Machine learning or related field with more than 5 years of industry experience.
 </li>
 <li>
 Strong experience in Generative AI and data science, with a focus on developing and deploying models on both on-premises and cloud platforms.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or Scala.
 </li>
 <li>
 Experience with cloud platforms such as AWS, Azure, or Google Cloud, including services like AWS SageMaker, Azure ML, or Google AI Platform.
 </li>
 <li>
 Deep understanding of Generative AI algorithms, including GANs, VAEs, and transformers.
 </li>
 <li>
 Experience with GPU-based computing for scalable AI solutions.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Excellent communication and collaboration skills.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Experience with Agentic AI and related frameworks.
 </li>
 <li>
 Knowledge of MLOps and CI/CD pipelines for machine learning model deployment.
 </li>
 <li>
 Familiarity with containerization technologies such as Docker and Kubernetes.
 </li>
 <li>
 Experience with natural language processing (NLP) and computer vision.
 </li>
 <li>
 Knowledge of advanced statistical techniques and their applications.
 </li>
 <li>
 Experience with real-time data processing and streaming technologies.
 </li>
 </ul>
</div>

Senior Data Scientist

Kyndryl

<div>Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward &ndash; always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. 
 
The Role
Kyndryl is seeking an accomplished MLOps Platform Architect to lead the design, build, and continuous operation of a cutting-edge Machine Learning Operations ecosystem. This individual contributor role is pivotal in creating scalable, secure, and performance-optimized platforms that integrate advanced AI and Agentic AI systems, enabling seamless deployment and management of machine learning models across both online and offline environments.
Key Responsibilities:
<ul><li>Architect, implement, and optimize end-to-end MLOps platforms supporting robust deployment pipelines for diverse ML workloads.
</li><li>Design scalable infrastructure for training, serving, and monitoring AI/ML models, leveraging parallel processing, load balancing, and performance tuning techniques.
</li><li>Develop and automate CI/CD pipelines incorporating Alpha/Beta testing, Blue/Green deployments, with a focus on deployment automation and production readiness.
</li><li>Establish comprehensive model monitoring frameworks to track performance, detect drift, and ensure stability and compliance in production.
</li><li>Collaborate closely with data scientists, AI engineers, and platform teams to integrate AI models, support experimental workflows, and enhance platform usability.
</li><li>Ensure enterprise-grade platform security, governance, and operational compliance.
</li><li>Lead initiatives on platform scalability, cost efficiency, and resource provisioning, maintaining thorough architectural documentation.
</li>Proactively research and recommend cutting-edge technologies and best practices in MLOps to keep the platform at the forefront of innovation. 
<li>
</li></ul> 
Who You Are
Required Qualifications:
<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Engineering, Data Science, or related fields.
</li><li>Over 10 years of experience designing and operationalizing complex, scalable MLOps platforms with strong production readiness.
</li><li>Deep expertise in AI/ML lifecycle management, deployment automation, performance optimization, and scalable serving frameworks.
</li><li>Proficiency with advanced deployment strategies including Alpha/Beta testing, Blue/Green deployments, and load balancing.
</li><li>Hands-on experience in parallel processing techniques for scalable training and inference.
</li><li>Strong knowledge of modern data ecosystems, containerization (Docker, Kubernetes), orchestration, and cloud AI/ML services (AWS, Azure, GCP).
</li><li>Expertise in integrating AI engines and emerging Agentic AI technologies.
</li><li>Proven capability as a collaborative team player in cross-functional environments.
</li><li>Industry experience in enterprise AI/ML, preferably within financial services or regulated industries.
</li></ul>Preferred Qualifications:
<ul><li>Skills in requirements gathering, translating business needs into technical platforms.
</li><li>Strong background in DevOps and infrastructure automation practices.
</li><li>Broad understanding of data science algorithms and AI model development.
</li><li>Advanced cloud architecture expertise and knowledge of data engineering platforms. Excellent communication, organizational, and documentation skills.
</li><li>Experience driving platform adoption, user experience improvements, and stakeholder engagement.
</li><li>Certifications in cloud platforms and MLOps tools are advantageous.
</li></ul>This role at Kyndryl offers an outstanding opportunity to architect and spearhead next-generation MLOps platforms that empower scalable, intelligent AI solutions for enterprise innovation and transformation. The ideal candidate thrives on technical excellence, strategic thinking, and impactful collaboration in a dynamic environment. 
 
Being You
Diversity is a whole lot more than what we look like or where we come from, it&rsquo;s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we&rsquo;re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you &ndash; and everyone next to you &ndash; the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That&rsquo;s the Kyndryl Way. 
 
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter &ndash; wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked &lsquo;How Did You Hear About Us&rsquo; during the application process, select &lsquo;Employee Referral&rsquo; and enter your contact's Kyndryl email address.</div>

MLOps Platform Architect

Jobs via eFinancialCareers

<div>
 
 Organization
 
 
 
 Arab Monetary Fund
 
 
 
 Opening Date
 
 
 
 Monday, December 23, 2024 - 12:00 - Monday, June 30, 2025 - 12:00
 
 
 The Arab Monetary Fund aims to onboard a
 
 "Senior Data Scientist"
 
 in the Capacity Development and Innovation Department, reporting to the Knowledge and Innovation Division Chief.
 
 
 
 Job Purpose
 
 
 
 The Senior Data Scientist will manage, enhance, and align database management practices with international standards and ensure the reliability of the Arab Monetary Fund&rsquo;s economic database and the Arab Financial Markets database, in addition to applying advanced statistical methodologies to analyze data, facilitate results interpretation, and develop actionable insights to support the Arab Monetary Fund's flagship reports, studies, and other publications and facilitating decision-making processes and supporting key organizational activities through sophisticated data analysis and interpretation.
 
 
 
 Key Accountability Areas and Activities
 
 
 
 The key activities include, but are not limited to, the following:
 
 
 <ul>
 <li>
 Understand plans, drawings, technical specifications, and in-depth database parameters.
 </li>
 <li>
 Align databases with the AMF's strategic objectives and ensure that their designs meet organizational, and member countries&rsquo; needs.
 </li>
 <li>
 Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations to support decision-making and reporting.
 </li>
 <li>
 Interpret raw data and transform it into actionable insights, feedback, and applications that support decision-making and inform the organization's publications and activities.
 </li>
 <li>
 Use big data, machine learning and other technics to improve data availability and analysis.
 </li>
 <li>
 Manipulate non-relational databases to extract key economic and financial developments.
 </li>
 <li>
 Provide accurate and relevant data analyses to assist in the development of reports, studies, bulletins, and other publications.
 </li>
 <li>
 Ensure data integrity and relevance in all published materials.
 </li>
 <li>
 Automatize data transformation and manipulation to expedite processes.
 </li>
 <li>
 Recommend improvements to data processes and systems to enhance functionality and support organizational objectives based on the best practices and latest technologies and technics in statistical analysis and database management.
 </li>
 <li>
 Collaborate closely with internal and external stakeholders to gather requirements, provide feedback, and deliver data-driven insights.
 </li>
 <li>
 Contribute to internal and external training effectively to both technical and non-technical audience.
 
 
 
 </li>
 </ul>
 
 Qualifications And Requirements
 
 
 
 <ul>
 <li>
 A minimum of 7 years of experience in database management experience, particularly in statistical or financial sectors
 </li>
 <li>
 Bachelor&rsquo;s degree in business administration, finance, economics, investment management or a related field
 </li>
 <li>
 Master&rsquo;s degree in statistics, data science, or a related field in database management or statistics
 </li>
 <li>
 Excellent communication and writing skills in Arabic and English. French, as a third language, is a solid advantage
 
 
 
 </li>
 </ul>
 We offer an attractive package of benefits aligned with our employment policies, including a tax-free salary and supplementary allowances as housing, furniture and air ticket, schooling, and comprehensive medical insurance.
 
 
 Only shortlisted candidates will be contacted.
 
 
</div>

CloudJune Technologies LLC

Job SummaryDevelop and implement AI/ML solutions to enhance government services, improve decision-making, and support the UAE Artificial Intelligence Strategy 2031.Key Responsibilities:Design, train, and deploy AI/ML models for NLP, computer vision, and predictive analytics. Prepare and manage datasets in compliance with Abu Dhabi Data Management Standards. Integrate AI solutions into government systems and smart services. Ensure compliance with Ethical AI Guidelines and AI governance frameworks.Research and recommend emerging AI technologies.Qualifications:Bachelor&rsquo;s or Master&rsquo;s in AI, Computer Science, Data Science, or related field (PhD preferred).3&ndash;7 years of AI/ML development experience. Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (Azure, AWS, G42 Cloud).Knowledge of AI ethics, data privacy, and MLOps. Strong problem-solving and communication skills; Arabic an advantage.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Microservices: 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>Application Deadline: 25/08/2025 Expected Start Date: 01/09/2025

AI Engineer

Open Innovation AI

<div>
 
 
 Company Description
 
 
 
 
 
 
 Open Innovation AI is a global technology company that specializes in developing advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks efficiently across diverse infrastructures. The platform is hardware-agnostic, optimized for various GPUs and accelerators hardware, and facilitates seamless integration and scalability for enterprise AI applications. Open Innovation AI focuses on optimizing and simplifying AI workload management and making AI technologies accessible to organizations of all sizes. With its innovative solutions, companies can reduce operational costs, accelerate time to value, and maximize their return on investment, ensuring that their AI strategies contribute directly to enhanced business outcomes.
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 Are you passionate about building robust, scalable infrastructure that powers machine learning at scale? Join our team as a Senior Software Engineer &ndash; ML Infrastructure and take part in developing high-performance systems that enable the training, deployment, and monitoring of cutting-edge ML models. From building datasets to supporting production workloads, your work will be critical to our AI capabilities.
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Design and build services and infrastructure for training and fine-tuning large neural networks
 </li>
 <li>
 Develop tools for managing datasets, ensuring quality, consistency, and reproducibility
 </li>
 <li>
 Implement scalable, automated deployment systems for complex ML models
 </li>
 <li>
 Drive the full software development lifecycle&mdash;from design and implementation to CI/CD and monitoring
 </li>
 <li>
 Collaborate closely with ML engineers, data scientists, and platform teams to align infrastructure with business goals
 </li>
 <li>
 Write clean, maintainable, and well-tested code to ensure long-term sustainability
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 5+ years of professional software development experience
 </li>
 <li>
 
 Strong Python backend development skills (Most Critical)
 
 </li>
 <li>
 Solid understanding of Linux systems and networking fundamentals
 </li>
 <li>
 Deep knowledge of object-oriented programming, design patterns, algorithms, and data structures
 </li>
 <li>
 Hands-on experience with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Proficiency with containerization and orchestration technologies like Docker, Kubernetes, or OpenShift
 </li>
 <li>
 Familiarity with CI/CD tools such as GitLab and ArgoCD
 </li>
 <li>
 Experience monitoring production systems using metrics, logging, and alerting tools
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field
 </li>
 </ul>
</div>

Senior Software Engineer

Nagarro

<div>
 
 Job Description
 
 
 
 Must have Skills : Machine Learning - General Experience, Client Interaction (Expert), Business Intelligence &amp; Reporting
 
 
 Job Description : "Responsibilities: Analyze business requirements and identify opportunities for AI/ML solutions. Collaborate with stakeholders to define project scope and objectives. Convert business requirements into structured user stories with clear descriptions, acceptance criteria, and definitions of done. Continuously refine and prioritize user stories in the product backlog, ensuring they are ready for development sprint cycles. Conduct market research and competitive analysis to inform AI strategy. Develop and present business cases for AI initiatives. Monitor and evaluate the performance of AI solutions. Stay current with advancements in AI/ML technologies and industry trends. Skills: Strong understanding of AI/ML concepts and technologies. Experience with business analysis tools and methodologies. Excellent communication and collaboration skills. Ability to analyze data and make data-driven decisions. Strong problem-solving skills and attention to detail. Qualifications: Bachelor s degree in Computer Science, Business, or a related field. 8+ years of experience"
</div>

BUSINESS-ANALYST

Explore 447+ Machine learning engineer in Abu Dhabi this September. Find roles across top companies and apply now to boost your career.

447 machine learning engineer jobs IN Abu Dhabi

Senior Data Scientist - AI/ML Engineer

Senior Data Scientist

MLOps Platform Architect

Senior Data Scientist

AI Engineer

Senior Software Engineer

BUSINESS-ANALYST