14 AI Models jobs in the United Arab Emirates

Senior AI Engineer - Data & Infrastructure for Multimodal Models (100% Remote)

Dubai, Dubai Tether Operations Limited

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Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing.

Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We're seeking experienced AI infrastructure Engineers to design and implement robust, scalable pipelines for massive data workloads. Join Tether’s applied research team, where you’ll contribute to high-impact projects that run across thousands of GPUs and drive cutting-edge video generation foundation development.

Responsibilities

  • Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200).

  • Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data.

  • Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame rates, annotations, and embedded audio.

  • Architect robust systems for scalable evaluation and annotation, including prompt-based scoring, perceptual metrics, caption generation, and retrieval-based diagnostics.

  • Collaborate with model researchers to co-design video model architectures (e.g. DiTs, VAEs, spatio-temporal transformers) and training schedules across pretraining and fine-tuning stages.

  • Optimize distributed data loading and pipeline throughput for training at scale, ensuring robustness across model variants and modality combinations.

  • Manage infrastructure to support experiment tracking, model versioning, and cross-team deployment workflows, integrating with production and research platforms.

  • Support backend engineering across research, product, and creative teams to ensure seamless integration of data and model workflows from prototyping to inference.

  • Proficient in Python with strong programming skills across backend, infrastructure, and data tooling domains.

  • Strong software engineering experience, including 2+ years working with petabyte-scale data pipelines and systems across thousands of GPUs.

  • Proven ability to architect and maintain large-scale distributed systems for data processing and delivery.

  • Deep expertise in orchestration frameworks such as Kubernetes and SLURM with hands-on experience deploying and managing high-throughput workloads.

Preferred Qualifications

  • Practical experience on building pipelines and infrastructure with visual and multimodal datasets, including image/video pipelines.

  • Experience in building video foundation infrastructure pipelines and workflows with collaboration of LLM and/or video foundation research and engineering teams is a strong advantage.

Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

  • Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page:

  • Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

  • Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

  • Double-check email addresses. All communication from us will come from emails ending in @ tether.to or@ tether.io

  • We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

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Manager of Artificial Intelligence

Abu Dhabi, Abu Dhabi Consultz

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Abu Dhabi, United Arab Emirates | Posted on 01/11/2025

Consultz is supporting our client, a well-renowned SWF in the region in their search for Manager of Artificial Intelligence .

To lead the development and implementation of advanced machine learning (ML) models and generative AI solutions. The role involves driving innovation, solving complex business challenges, and seamlessly integrating AI technologies into our existing systems and processes.

To be successful in this role, the candidate should possess a deep technical understanding of AI and ML, with a proven track record of deploying machine learning models in real-world applications. They should demonstrate strong problem-solving capabilities and have experience in collaborating with cross-functional teams. Experience in cloud environments, particularly Azure, is highly desirable to effectively contribute to the organization's strategic objectives.

Key Accountabilities
  • Design, develop, and deploy robust machine learning models and generative AI solutions tailored to specific technical and organizational challenges.
  • Implement scalable machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
  • Optimize and fine-tune ML models for accuracy, performance, and scalability in real-world production environments.
  • Develop APIs and integrations to enable seamless interaction between AI models and existing systems or applications.
  • Monitor and troubleshoot deployed models to ensure performance, reliability, and compliance with data and ethical standards.
  • Conduct research on advancements in AI models and solutions to influence the direction of the organization’s AI roadmap.
  • Collaborate with data engineering teams to ensure robust data pipelines and infrastructure to support AI initiatives.
  • Implement and maintain version control and CI/CD pipelines for ML model deployment and lifecycle management.
  • Utilize Azure cloud services for model training, deployment, and scaling, leveraging tools like Azure Machine Learning Studio, Databricks, and other relevant platforms.
  • Ensure adherence to best practices in AI/ML development, including reproducibility, testing, and code quality standards.
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Over 10 years of experience in the field, with a minimum of 5 years of experience as an AI Developer, with a strong focus on building and deploying machine learning models.
  • Experience in the implementation of solutions using generative AI models (OpenAI services including GPT and embedding models and other popular open-source models).
  • Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks like TensorFlow, Keras, or PyTorch.
  • Demonstrated experience in implementing ML models in real-world scenarios, with case studies or portfolio examples.
  • Experience in improving model performance including optimization techniques, hyperparameter tuning, performance monitoring.
  • Strong understanding of data structures, data modeling, and software architecture.
  • Experience with cloud platforms, particularly Microsoft Azure, is highly desirable.
  • Good understanding of data management principles, data warehousing, and business intelligence concepts.
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Digitalization and Artificial Intelligence Engineer

Abu Dhabi, Abu Dhabi KBR, Inc

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Title:

Digitalization and Artificial Intelligence Engineer

Belong, Connect, Grow, with KBR!

The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.

KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.

We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor’s office for an Offshore client.

Job Title:Digitalization and Artificial Intelligence Engineer

Location: Madrid, Spain
Project: LZ LTDP-1
Department: Engineering / Digital Transformation
Reports To: Project Manager

Job Description:

Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.

Key Responsibilities:

Design & Engineering

  • Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
  • Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
  • Identify and select appropriate digital and AI technologies for implementation.

Integration & Implementation

  • Define and implement integration strategies with existing ADNOC systems such as Panorama .
  • Ensure seamless integration of various digital solutions into a common user-friendly platform .
  • Design plant facilities to accommodate selected digital and AI technologies.

Infrastructure & Compliance

  • Identify required IT infrastructure and ensure compliance with:
    • Wireless Infrastructure (AGES-SP-12-003)
    • Wireless Instrumentation System (AGES-SP-04-019)
  • Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD) .

Execution & Commissioning

  • Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
  • Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.

Technology & Innovation

  • Promote adoption of edge computing and autonomous operation programs .
  • Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
  • Integrate drones and robotics as part of the digitalization scope.

Guidelines & Standards

  • Ensure adherence to ADNOC’s AI P5 Guidelines and instrumentation standards:
    • Wells & Surface Facilities Instrumentation
    • Real-time Data Mapping
    • Domain Data Requirements
    • Collaborative Working Environment
    • Change Management & Communication
    • Telecommunication Infrastructure

Qualifications & Experience:

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
  • Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
  • Proven experience in EPC project environments and multi-disciplinary coordination.
  • Strong knowledge of industrial automation, edge computing, and AI platforms.
  • Familiarity with ADNOC systems and standards is highly desirable.

Skills & Competencies:

  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Project management and scheduling expertise.
  • Ability to work collaboratively across disciplines and with subcontractors.
  • Cybersecurity awareness and data governance understanding.
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Artificial Intelligence in Action - Open Rank Faculty

Abu Dhabi, Abu Dhabi Karlstad University

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Artificial Intelligence in Action - Open Rank Faculty

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative, and multicultural environment.

Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Masters in Applied AI

Location

Open Date

Oct 24, 2025

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is seeking passionate and highly motivated faculty members in the field of Artificial Intelligence. Responsibilities include delivering high-quality instruction, mentoring students, contributing to curriculum development, and engaging in interdisciplinary research. Faculty will have opportunities to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Master in Applied Artificial Intelligence (MAAI) program aims to address the skills gap in AI applications within industry, both in the UAE and globally. It combines theoretical knowledge with practical experience, preparing students to implement AI technologies across industry, research, and government sectors.

Aligned with Abu Dhabi’s vision for a knowledge-based economy, the program educates future leaders in AI applications, supporting national strategies and societal development. Its industry-focused, project-based curriculum emphasizes applied and entrepreneurial skills to foster AI innovations with societal, economic, and environmental impacts.

About MBZUAI – A Global Leader in AI Research and Education

Established in 2020, MBZUAI is the world’s first university dedicated solely to AI. It has quickly become a top-ranked AI institution, hosting over 80 faculty members and 330+ graduate students, and ranking among the top 10 AI universities worldwide.

The university plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030. MBZUAI promotes collaboration among academia, industry, and government to drive AI innovation addressing real-world challenges in healthcare, sustainability, and beyond.

Upcoming initiatives include launching undergraduate degree programs next year and expanding Master’s and PhD programs with new specializations in Statistics and Data Science, Computational Biology, and Human-Computer Interaction.

Why Join MBZUAI?

  • Top-tier compensation aligned with leading global academic institutions
  • Research funding and academic freedom to foster groundbreaking AI advancements
  • Exceptional benefits, including relocation support for international faculty
  • State-of-the-art research facilities with advanced AI labs and high-performance computing
  • Living in Abu Dhabi: a safe city with year-round sunshine, rich culture, and modern amenities
  • Opportunities to collaborate with top AI researchers, tech firms, and policymakers

Qualifications

Applicants should hold a PhD in Computer Science or a related field with a strong focus on AI. Candidates must demonstrate excellence in impactful research and show an interest in mentoring students.

Application Instructions

To apply, please submit:

  • Curriculum Vitae with key publications and teaching experience
  • A statement of teaching philosophy, vision, and interests
  • Contact details for three referees (reference letters will be uploaded via Interfolio)

MBZUAI values diversity and is an equal opportunity employer. We actively seek to recruit faculty from around the world to foster an inclusive, multicultural environment.

Join us in shaping the future of AI – apply today at MBZUAI!

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Assistant Professor /Associate Professor in Artificial Intelligence (Visiting)

Sharjah, Sharjah University of Sharjah

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Posting Date 05/Feb/2025 Expiry Date 08/Oct/2025 Job Reference Number: T09:31:33

Assistant Professor/Associate Professor in Artificial Intelligence (Visiting Faculty)

CATEGORY Faculty Members College of Computing & Informatics

College Computing & Informatics

Department Computer Science

Job Purpose

The College of Computing and Informatics atthe University of Sharjah invites qualified candidates from the academic ranksAssistant Professor / Associate Professor to apply for a faculty position in ArtificialIntelligence.

  • Teach courses at the undergraduate and graduate level.
  • Contribute to the research activities and initiate research projects leading to effective publications in journals with high ranking and patents
  • Supervise postgraduate students' research projects and theses (Masters/PhD)
  • Contribute to the development of courses and programs (both at the undergraduate and postgraduate levels) offered by the College of Computing and Informatics) and accreditation especially ABET Accreditation and CAA of UAE
  • Perform all assigned administrative tasks by the program/department, college and university
  • Mentor and advise students at all levels
Required Skills
  • Ph.D. in the areas specified above or in closely related fields (From a reputable and internationally recognized University).
  • Effective teaching experience in the above-mentioned fields or related ones at undergraduate and postgraduate levels.
  • Strong record of accomplishment of research publications in refereed scholarly international journals with good impact factors.
  • Experience in supervising Senior Design Projects, Master and PhD Theses/Dissertations
  • Interest and experience in bridging links with industry and the community are also expected
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Assistant/Associate Professor in Computer Science/Artificial Intelligence

Al Ain, Abu Dhabi Al Ain University of Science & Technology

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Assistant/Associate Professor in Computer Science/Artificial Intelligence

Reference Number: 381 Al Ain

Job Description:

  • Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.
  • Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.
  • Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.
  • Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.
  • Provide timely, constructive feedback on student coursework, projects, and examinations.
  • Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.
  • Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.
  • Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.
  • Perform any additional duties as requested by the Program Director or Dean.

General Conditions:

  • 4+ years of professional experience in teaching AI-related subjects at the university level.
  • Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
  • Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.
  • Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.
  • Research published in reputable journals indexed in the Scopus database.
  • A passion for mentoring students in research and supporting their academic and professional growth.
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Machine Learning Engineer

Dubai, Dubai Messilat

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Job Description

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!

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Machine Learning Engineer

Abu Dhabi, Abu Dhabi EchoTwin AI, Inc.

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Job Description

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.

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Machine Learning - Intern

Dubai, Dubai Bayut | dubizzle

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Job Description

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

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Machine Learning Scientist

Dubai, Dubai Property Finder Group

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Job Description

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
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  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
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