22 AI Solutions jobs in the United Arab Emirates

We are looking for a passionate AI/ML Intern to help us design, develop, and deploy AI-powered solutions and products. This role involves building both AI/ML models and the applications or platforms where these models will be utilized. The ideal candidate should have strong programming skills, a solid understanding of machine learning and AI concepts, and the ability to develop end-to-end solutions, including applications leveraging LLMs (Large Language Models) and agentic systems.

Responsibilities AI/ML Model Development

• Build, train, and optimize machine learning models for various use cases.
• Research and integrate Large Language Models (LLMs) and agent-based AI systems.

Application/Platform Development

• Develop scalable applications or platforms to host AI/ML models.
• Implement APIs or integrations to enable seamless interaction with AI systems.

End-to-End Solution Design

• Collaborate with cross-functional teams to define product requirements and workflows.
• Ensure high-quality delivery by testing and debugging applications and models.

Problem Solving and Optimization

• Identify technical challenges and propose innovative solutions.
• Optimize performance and scalability of AI models and applications.

Exploration of Emerging Technologies

• Stay updated on advancements in AI/ML, especially in agentic systems and LLMs.
• Experiment with state-of-the-art frameworks and libraries.

Requirements Programming Skills

• Proficiency in Python and at least one other programming language (e.g., C , Java , etc.).
• Strong experience in data structures, algorithms, and writing clean, efficient, and maintainable code.

Experience in Application Development

• Hands-on experience in building and deploying web or desktop applications.
• Familiarity with frontend and backend technologies, frameworks, and deployment pipelines.

Machine Learning & AI Expertise

• Knowledge of core machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation techniques.
• Experience working with real-world datasets and developing models to solve practical problems.

LLM and Agentic Systems Exposure

• Familiarity with LLM frameworks (e.g., OpenAI, LangChain) and experience building AI agents or similar systems.
• Understanding concepts like reinforcement learning, multi-agent systems, or autonomous agents is a plus.

Problem-Solving Skills

• Strong analytical and critical thinking abilities to solve complex problems efficiently.
• Ability to work independently or in a team to deliver innovative solutions under deadlines.

What You’ll Gain

• Hands-on experience in designing and deploying AI-powered products from scratch.
• Exposure to cutting-edge AI technologies and frameworks.
• Mentorship from industry experts and an opportunity to work on impactful projects.

Duration: 3-6 Months
Location: Onsite
Compensation: Unpaid

#J-18808-Ljbffr

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our Group Business Service team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

Responsibilities

• Engineer Conversational AI platforms with LLM-based agents, reusable frameworks, and secure enterprise knowledge systems
• Architect AI/ML platform components, operationalize LLMs, and implement MLOps best practices
• Build ML pipelines using Azure/AWS, deploy foundation models, and manage cloud-native infrastructure
• Drive adoption of modern engineering practices, evaluate emerging tools, and improve platform reliability
• Manage self and team in line with ADCB’s people management policies, procedures, processes and practices to ensure adherence and to maximise own and employee contribution to business performance
• Organize and supervise the activities and work of the team to ensure that targets and objectives are achieved and the business plan is delivered in line with the required policies, processes, procedures and systems
• Implement approved departmental policies, processes and procedures, and ensure employee adherence so that work is carried out to the required standard while delivering the required standards of service to customers and stakeholders
• Manage and motivate the team to ensure they contribute to, and participate in, the identification and implementation of change initiatives, programmes and projects in line with the Bank’s standards
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

Qualifications

• AI/ML engineering with expertise in LLMs, transformers, multimodal models, RAG, and vector databases
• NLP/NLU, personalization, and recommendation systems
• Scalable cloud-native AI platforms using microservices architecture
• Strong stakeholder management, mentoring, and cross-functional collaboration
• Deep understanding of emerging AI trends and rapid prototyping
• Active engagement in AI communities and innovation initiatives

Benefits

• Competitive Salary: Additional to this, all employees are eligible to participate in one of our rewarding variable pay plans.
• Comprehensive Benefits Package : This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).
• Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.
• Learning and Development Opportunities : We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions

#J-18808-Ljbffr

Solutions Manager -AI & ML -Digitalization Project page is loaded# Solutions Manager -AI & ML -Digitalization Projectlocations: Abu Dhabitime type: Full timeposted on: Posted Todayjob requisition id: R-9133**Not just a job, but a career**Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.**About the Team** Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.**Job Purpose*** In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.* Design and develop AI /ML models that support asset performance management across various maintenance strategies, including predictive, prescriptive, and cognitive maintenance.* Implement Analytical AI techniques (supervised/unsupervised learning, reinforcement learning) for predictive maintenance, defect elimination, and asset strategy optimization* Use AI /ML to analyze trends and patterns, make intelligent recommendations, and automate decision support systems.* Develop intelligent recommendations systems that improve maintenance processes, criticality assessments, and reliability analytics.* Ensure AI models are scalable and deployable within industrial platforms, integrating with DCS, PLC, SCADA, Historians, EAM, MES/MOM, SCM, and SAP systems.* To oversee the expansion of our advanced automation and digital transformation solutions (AI/ML) and services into new asset developments and brownfield optimization projects across several industrial markets**Key Responsibilities & Accountabilities*** Knowledge of software development process and technical skills: Lead AI /ML Engineer must know the technical aspects of projects to identify risks, propose immediate solutions and provide guidance for Digital transformation solutions.* Define the AI/ML strategy and roadmap for oil & gas solutions, aligning with Yokogawa’s digital transformation objectives.* Architect end-to-end ML systems, from data ingestion and feature engineering to model deployment and monitoring.* The objective is to understand your customer’s business objectives to align with Yokogawa capabilities and solutions. In this role you will lead other Yokogawa key contributors in an overall strategy to implement solutions that will contribute to customer business objectives in a way that is meaningful and measurable in the areas of AI/ML solutions.* Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.* Make strategy, implement initiatives & measures to help position AI/ML solutions to achieve long term sustainability and profitability on establishing site services orders, management of warranty & post-delivery support for YUAE business.* Report to Department Manager-Advanced Solutions Department on job progress, issues and resolutions and manpower-mapping for effective delivery of solution.* Lead and mentor a multidisciplinary team of data scientists, machine learning engineers, and software developers.**Qualification and Experience*** A bachelor’s degree in data science / AI or Software engineering with specialization in data science and having strong process knowledge. Master’s degree is preferable.* Minimum 15 years of experience.**Competencies*** Develop and optimize algorithms for real-time analytics and predictive maintenance in upstream, midstream, and downstream operations.* Perform model performance tuning to ensure reliability and scalability under production environments.* Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.* Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.* Proactively addresses potential risks related to data privacy, model bias, and operational safety.* Capable of managing field surveys, designing automation functions, and ensuring compliance with project quality standards.* Capable of overseeing multiple projects, ensuring the successful delivery of projects involving advanced automation technologies including AI/ML and managing all aspects of project execution* Deep technical knowledge in process solutions and expertise in specialty Chemicals & Process, including understanding Chemical Properties, Manufacturing Processes, Operations and Industry-specific challenges* Stay updated on the latest trends, technologies, and regulations in the specialty chemicals & Process industry and provide insights that influence product/service/solution development and strategic planning* Customer Focus with Strategic Mindset* Proven track record of field experience and technical skills* Excellent verbal and written communication skills* Good leadership skills**Skills*** Knowledge and experience in implementing AI /ML Project* Knowledge in advanced level for programing in Python, C++, Java, C#, SQL, Matlab etc* Strong experience with Predictive Analytics and Prescriptive Analytics using tools like TensorFlow, PyTorch, and familiarity Keras, XGBoost.* Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.* Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.* Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.* Hands-on experience with major cloud platforms (AWS, Azure, or GCP) for model deployment and data processing.* Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.* Familiarity with distributed data processing and big data technologies (Spark, Hadoop), plus knowledge of time-series databases (e.g., InfluxDB, OSIsoft PI) is an added advantage.* Knowledge of working on DCS platforms.* Consistently demonstrates exceptional technical skills, competence, and productivity.* Possesses excellent communication and interpersonal abilities.* This position is best filled by someone with a firm understanding and knowledge in AI /ML with data science background with having process Plant Operations -Onshore /Offshore/Refining -Upstream, Midstream & downstream with Process Automation/Process Control in both discrete and continuous manufacturing.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their #J-18808-Ljbffr

Description
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and consistent support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.
Trusted by more startups around the world, AWS makes the power of cloud computing accessible for all by giving founders everywhere access to the same technology that powers the world's largest companies. With experience gained from supporting hundreds of thousands of startups that have come before, we help founders prove that their world-changing ideas are possible, at any stage of growth or level of funding. This is why more startups, and over 80% of unicorns, build on AWS.
Startup Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with startups of different stages. Supporting the overall technical relationship between customers and AWS, they work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. Solutions Architects also have broader impact at scale, taking a supporting role in creating and presenting technical content and best practices.
In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to refine cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments.
You will be part of a team that is responsible for driving adoption of AWS technologies while bringing differentiated value to customers. This is a team dedicated to Startups, an important and growing subset of customers for AWS. Startups follow unique technology adoption patterns and growth trajectories that distinguish them from traditional businesses, so you will be employing engagement strategies and programs tailored to their business needs and technical preferences.
Key job responsibilities
- As a Solutions Architect, you will work directly with customers to accelerate their challenging projects and recommend best-practice architectures in line with their long-term business outcomes.
- You operate as a trusted advisor for startups. The best interests of the customer will shape the guidance you provide. You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners' technology.
- You capture and share the voice of the customer to influence the roadmap of new features and services for AWS. You use your customer understanding to participate in the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).
- Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).
- To be successful in this role you need to be passionate about startups and cloud architectures. You are a builder with genuine curiosity about how technology can support your customers' business models and objectives. You are a lifetime learner that develops areas of depth in technical domains relevant to your interests and your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture.
A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you'll craft highly-scalable, flexible, and resilient cloud architectures that address our customers' business problems. As part of our team, you'll have the opportunity to continuously learn and innovate daily.
The startup organization at AWS comprises experts from across the global ecosystem, including former founders and CTOs, venture capitalists, angel investors, and mentors who upskill today's founders to navigate challenges and opportunities as they build their business, and our Startup Solutions Architect team is where the magic happens. is dedicated to working with startup companies as they build and scale their businesses. We're here to make sure that they can deploy the best, most scalable, and most secure architectures possible - and that they spend as little time and money as possible doing so. We are a group of technologists with varied backgrounds; from fresh graduates to ex-CTOs, all growing our skills and startup expertise, while working on latest technology use-cases with some of the world's most innovative companies. For Solutions Architect who like to invent, there's no better place to build than on the AWS Startup SA team.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Experience with building, validating and deploying GenAI models and applications on cloud infrastructure.
- Sound knowledge of machine learning fundamentals, with working knowledge of frameworks such as Pytorch, TensorFlow, JAX or MXNet.
- Knowledge of MLOps tools and workflows for model development, validation, and deployment.
- High level of communicating effectively across internal and external organizations, with both technical and non-technical audiences.
- Fluent written and verbal communications skills in English (local language is a plus) with demonstrated ability to communicate technical choices to business and technology stakeholders
Preferred Qualifications
- UAE Nationals with a family book
- Professional experience architecting/operating solutions built on AWS and/or AWS certification (e.g. AWS Solutions Architect Associate or Professional)
- Hands-on experience benchmarking and optimizing performance of models on accelerated computing (GPUs, Trainium/Inferentia, TPU and/or AI ASICs) clusters with high-speed networking.
- Understanding of technical details and techniques used in tuning generative AI foundation models using techniques like RAG, PEFT, RLHF, DPO
- Experience scaling model training and inference using technologies like Slurm, ParallelCluster, Amazon SageMaker, experience in developing and deploying large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

#J-18808-Ljbffr

About Us

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

Responsibilities

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

Computer Vision

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

Predictive Analytics

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

Experience

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

#J-18808-Ljbffr

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

#J-18808-Ljbffr

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Machine Learning Scientist

Location : Dubai, UAE
Department : Applied AI & Data Science Team
Reports To : Head of AI & Data Science

About the Role

We are looking for a highly experienced Machine Learning/Data Scientist with foundational skills in Machine Learning Engineering, and Generative AI to join our innovative AI & Data Science team. The ideal candidate will bring expertise in advanced predictive modeling, scalable data solutions, and integrating AI systems into enterprise platforms. A strong research mindset is essential to excel in this role.

This position plays a critical role in shaping the future of AI-driven decision-making at Property Finder, driving data strategy, and delivering impactful AI solutions.

Key Responsibilities

• Design and implement advanced predictive and optimization models , leveraging classical ML/Statistical model, deep learning models, and modern AI techniques.
• Drive applied innovation in Large Language Models (LLMs) , Generative AI , and Agentic AI systems, exploring and developing novel applications to enhance and automate user experience, improve lead qualification, personalized recommendations, content creation, or automation and automate workflows.
• Build end-to-end model development, including experimentation, rigorous evaluation, and deployment into production environments.
• Build and maintain robust evaluation pipelines, A/B testing frameworks, and model monitoring systems to ensure performance, reliability, and fairness.
• Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale.
• Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models.
• Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability.
• Continuously optimize model performance for scalability, efficiency, and real-world reliability.
• Implement MLOps and deployment best practices (CI/CD, automated workflows, model registry, versioning, and lifecycle management).
• Partner with the Data Platform and Engineering team to optimize model deployment and operational workflows.
• Work closely with the Strategy, BA, Commercial, and Product teams to align on project objectives and ensure smooth deployment of solutions.

Qualifications

• Education : Bachelor or above in Computer Science, Data Science, Machine Learning, or a related field.
• Experience : At least 4+ years in Data Science or MLE roles and foundational MLOps practices.
• Technical Skills :
• Working knowledge of advanced predictive modeling, optimization, scenario analysis, and statistical methodologies.
• Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning.
• Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning.
• Experience with API development and connecting AI systems to external platforms.
• Working knowledge in deep learning techniques, including CNNs, RNNs, and transformers.
• Hands-on experience in applied GenAI/LLMs/Agentic AI augmented with knowledge of transformer-based architectures, prompt engineering, fine-tuning, and retrieval-augmented systems.
• Experience in leveraging cloud platforms (AWS, GCP, Azure) for scalable AI solutions.
• Foundational understanding of ML pipelines and Hands-on experience in deployment processes, version control systems (e.g., Git), CI/CD workflows, and containerization tools like Docker.
• Good working knowledge of cloud platforms like AWS, GCP, or Azure.
• Soft Skills :
• Effective communication and collaboration skills, particularly in cross-functional environments.
• Strategic mindset with the ability to translate business goals into data-driven initiatives.

Why Join Us?

• Contribute to cutting-edge AI and ML projects in a dynamic and fast-paced environment.
• Collaborate with top talent across diverse teams and disciplines.
• Be part of an innovative culture that values advanced research, strategic thinking, and impactful execution.

Our promise to talent

At Property Finder, we believe talent thrives in an environment where you can be your best self. Where you are empowered to create, elevate, grow, and care. Our team is made up of the best and brightest, united by a shared ambition to change living for good in the region. We attract top talent who want to make an impact. We firmly believe that when our people grow, we all succeed.

Property Finder Guiding Principles

• Think Future First
• Data Beats Opinions, Speed Beats Perfection
• Our People, Our Power
• The Biggest Risk is Taking no Risk at All

#J-18808-Ljbffr

Bayut & dubizzle - The Arab World's only Homegrown Unicorn Business is now inviting applications for internships of 6 months duration in our Business Intelligence department.

World-class mentors, fast paced & high performing work environment, our open culture and the opportunity to make an impact are just a few of the reasons why our internship program is highly sought after.

As a Machine Learning Intern, you will be participating in exciting projects covering the end-to-end Data Science lifecycle – from raw data cleaning and exploration with primary and third-party systems, through advanced state-of-the-art data visualization and Machine learning development.

You will work in a modern cloud-based data warehousing environment hosting Machine Learning models alongside alongside a team of diverse, intense and interesting co-workers. You will liaise with other departments – such as product & tech, the core business verticals, trust & safety, finance and others – to enable them to be successful.

In this role, you will:

• Query large datasets with SQL and feed ML models.
• Perform data exploration to find patterns in the data and understand the state and quality of the data available.
• Utilize Python code for analyzing data and building statistical models to solve specific business problems.
• Evaluate ML models and fine tune model parameters considering the business problem behind.
• Collaborate with senior peers to Deploy ML models in production.
• Build customer-facing reporting tools to provide insights and metrics which track system performance.
• Being part and contributing towards a strong team culture and ambition to be on the cutting edge of big data
• Participate in the off-hours on call stability rotation to support live ML models

• Bachelor’s degree in AI, Statistics, Math, Operations Research, Engineering, Computer Science, or a related quantitative field.
• Statistical modelling and math
• Basic knowledge of Machine learning algorithms.
• Basic knowledge of SQL.
• Basic knowledge of visualization tools such as Periscope
• Excellent verbal and written communication.
• Strong problem solving skills.

• Ability to contribute to a platform used by more than 5M users in UAE and other platforms in the region.
• Strengthen your resume and build your network.
• Opportunity to find a full time career with the region's leading organization.
• Working in a multicultural environment with over 50 different nationalities
• Access to the Learning & Development tools and courses provided by the company.

Bayut & dubizzle is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

#dubizzle

#J-18808-Ljbffr