Resident Engineer in Dubai

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, renowned for our extensive expertise in deploying intelligent enterprise systems across diverse industries, particularly in financial services and banking. Our team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a pragmatic grasp of intricate business operations.The Data Engineer will play a pivotal role in designing, implementing, and optimizing data pipelines and infrastructure to bolster our innovative AI systems. This role involves close collaboration with our cross-functional team to ensure the effective collection, storage, processing, and analysis of large-scale data, unlocking valuable insights and fostering innovation across various sectors.

About Fractional AIAt Fractional AI, we specialize in creating tailored generative AI software solutions designed to revolutionize businesses.As C-suite executives strive to bridge the divide between theoretical AI and practical application, we are here to fill this gap with our exceptional engineering talent and bespoke end-to-end AI solutions. Explore our case studies to see our impact.We are excited to expand our operations by establishing a Dubai office to better serve our clients across EMEA and Asia.About the RoleAs a Founding Engineer in our Dubai office, you will be at the forefront of developing and deploying AI applications tailored to our clients' needs. Your role will involve everything from gathering client requirements to implementing innovative AI solutions. You will also play a vital part in shaping the engineering culture at Fractional AI as we grow our team to over 100 engineers.By your second project, you'll have successfully delivered LLM applications across numerous companies and use cases, surpassing the experience of most AI engineers worldwide.

DeepLight AI is a leading consultancy specializing in artificial intelligence and data solutions, renowned for our in-depth experience in deploying intelligent enterprise systems across various sectors, particularly in financial services and banking. Our expert team blends comprehensive knowledge of data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a nuanced understanding of intricate business operations.We are currently seeking a Data Assurance Lead to act as the principal steward of data integrity within our clients' multifaceted Lakehouse environments. In this pivotal consultancy position, you will not only oversee data but also architect, execute, and operationalize a comprehensive Data Assurance Framework from the ground up. By leveraging Soda Core within the Medallion architecture (Bronze, Silver, Gold), you will establish stringent quality standards, automate data contracts, and incorporate scorecards into OpenMetadata.In this consultative role, you will transcend the role of a mere technical specialist; you will become a strategic champion for data reliability. Exceptional communication skills are essential to effectively convey the significance of data assurance to stakeholders, guide cross-functional teams through ambitious migration objectives, and foster a culture of quality within AWS Glue and Data Factory workflows. If you have over 8 years of experience—preferably within the Financial Services or Banking industries—and flourish in dynamic, Agile environments where you can simplify complexity and engage senior stakeholders, we invite you to take on this exciting challenge.

Join sia as a Data & AI Consulting Manager, where you will lead innovative projects that harness the power of data and artificial intelligence to drive transformative solutions for our clients. In this dynamic role, you will collaborate with cross-functional teams to develop strategies and deliver insights that enhance business performance.

Welcome to SFORS! As a prominent player in the global financial markets, we pride ourselves on being at the forefront of proprietary trading and pre-market strategies. With over 20 years of experience, our success is driven by a relentless commitment to talent development, cutting-edge trading technologies, sophisticated risk management models, and strategic trading methodologies, all aimed at ensuring our traders achieve remarkable success.We are seeking a talented Data Engineer to join our dynamic team in Dubai. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure that support our analytics and machine learning initiatives. Your expertise will guarantee the seamless flow of data across various systems, uphold data modeling best practices, ensure stringent data security measures, and empower our teams with high-quality, structured data.

Join our innovative team at mexdigital as an AI Data Engineer. In this role, you will be instrumental in shaping our data-driven solutions, leveraging cutting-edge AI technologies to enhance business processes and deliver impactful insights. Collaborate with cross-functional teams to design, implement, and maintain scalable data pipelines and machine learning models that drive our projects forward.

Join fuseenergy, an innovative renewable energy startup dedicated to rapidly delivering a terawatt of renewable energy. We are leveraging first-principles thinking along with advanced technology to create a significantly improved energy system. With $170M raised from prominent investors, including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and notable angels like Nico Rosberg, co-founder of Solana, we are on a transformative journey.Our vision includes developing a fully integrated energy company that encompasses solar, wind, and hydrogen projects, real-time power trading, and distributed energy installations. By selling directly to consumers, we minimize costs and pass those savings on to our customers.We are also pioneering the Energy Network, a decentralized platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak times, and contributing to grid stability. This network is crucial for enhancing grid resilience, especially as we scale AI data centers and other energy-intensive sectors.As we build our cutting-edge AI team, we are seeking an Applied AI Engineer. This role is perfect for someone with the backend engineering skills who has a passion for applied AI and its potential to elevate the energy experience for our customers and streamline our operations. You'll engage in a range of exciting projects, such as developing consumer-centric features like the Energy Co-Pilot and the Speedy Onboarding process, utilizing tools like VLM/LLM. Your collaboration across various teams will be essential to create AI solutions that enhance productivity and optimize workflows within fuseenergy.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Lakera is on the lookout for a talented Solutions Engineer to enhance our sales processes, elevate customer success, and refine the product experience as we grow. In this pivotal customer-facing role, you will serve as the primary technical liaison throughout the sales journey and a vital resource for customer success. Your mission will be to convert customer requirements into effective solutions, leveraging Lakera’s AI Defense Plane to empower enterprises in securing their AI infrastructures and unlocking innovative use cases.You will collaborate closely with our Sales, Customer Success, Product, and Engineering teams to ensure that Lakera fulfills its mission. Your unique combination of technical knowledge, communication prowess, and customer-centric approach will place you at the forefront of AI security advancements.About LakeraLakera, a subsidiary of Check Point, is dedicated to making sure AI operates in ways that serve our best interests. We envision a future where AI agents enhance both our business and personal lives. At Lakera, we are not just fantasizing about this future; we are actively constructing the security framework to support it. We empower security teams and innovators, enabling their organizations to adopt AI technologies and reach the next level of intelligent computing.We partner with Fortune 500 companies, startups, and foundational model providers to safeguard them and their users from adversarial misalignments. Additionally, we are the creators of Gandalf, the leading AI security game globally.Our pace is rapid, and we operate with a sense of urgency. We function as one cohesive team while encouraging each member to take significant ownership and accountability. Transparency is paramount at every level, and we are committed to consistently raising the standards in all our endeavors. We embrace diverse perspectives, believing they lead to the most successful outcomes.Responsibilities:Serve as the principal technical contact for potential clients assessing Lakera, identifying their needs, and crafting solutions tailored to their systems utilizing Lakera’s platform.Collaborate with the Customer Success team to ensure swift onboarding for clients and that they derive maximum value from the platform.Create and sustain technical documentation and guides to facilitate pre-sales and optimize post-sales processes.Assist in product configuration and execute minor technical adjustments required for client implementations.Channel prospect feedback directly to Product and Engineering, contributing to the evolution of our roadmap and platform enhancements.

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

Join our dynamic team at ghobashgroup as a Junior Data & AI Engineer, where you will be instrumental in leveraging data-driven solutions to enhance our AI capabilities. This role is tailored for Emirati nationals who are eager to kickstart their careers in the exciting fields of data science and artificial intelligence.

Dataiku is at the forefront of AI innovation, providing an enterprise orchestration layer that simplifies the creation, deployment, and governance of AI solutions. Our platform empowers teams to design and operate analytics, machine learning, and AI agents within a collaborative environment that emphasizes transparency and control. By integrating seamlessly with various data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to implement AI strategies effectively across diverse vendor environments with centralized governance.Renowned companies across the globe depend on Dataiku to transform AI into a genuine driver of business performance, delivering measurable outcomes. For further insights, visit the Dataiku blog, LinkedIn, X, and YouTube.As a Senior Data Scientist at Dataiku, you will play a pivotal role in addressing real-world challenges by developing innovative solutions while also engaging directly with clients throughout their journey. Your responsibilities will encompass assisting clients in exploring the Dataiku platform, integrating it with other technologies, delivering user training, and collaboratively developing data science projects from inception to deployment.In this position, both technical and interpersonal skills are essential. You will leverage the Dataiku platform daily, utilizing primarily Python and SQL, with opportunities to work in other languages such as R, PySpark, and JavaScript. The ideal candidate will possess a passion for mastering complex technologies and modeling techniques and will be adept at articulating their work to both fellow data scientists and clients.Your contributions will include:Co-developing production-level data science projects in partnership with our clients.Analyzing diverse datasets and exploring machine learning applications across various industries and use cases.Facilitating user training sessions and providing ongoing consultative support to help users maximize their use of the Dataiku platform.Offering data science expertise to both customers and internal teams, including sales and marketing.

ABOUT US | Whiteshield is a premier global advisory firm strategically positioned at the crossroads of strategy, public policy, and digital transformation. We collaborate with governments and leading organizations to craft and execute initiatives aimed at enhancing economic competitiveness, fostering digital enablement, and ensuring sustainable growth.Our approach uniquely blends strategic advisory services with pragmatic execution. We empower senior decision-makers to navigate intricate regulatory, economic, and technological landscapes, converting aspirations into well-structured programs, delivery frameworks, and quantifiable outcomes.Unlike conventional consultancies that focus merely on recommendations, we remain actively engaged throughout the implementation process, ensuring that transformation plans are not only conceptualized but also effectively realized.WHERE YOU FIT IN | We are developing robust data platforms and architectures that serve as the backbone of national and enterprise transformation initiatives, facilitating decision-making, AI systems, and large-scale digital services.At Whiteshield, data is not an afterthought; it is a core component. From constructing interoperable data ecosystems across various institutions to enabling AI-ready infrastructures, our work operates at the intersection of engineering, analytics, and strategic foresight.We seek a Data Architect capable of bridging both vision and execution. You will delineate how data is structured, governed, and utilized, ensuring it is reliable, scalable, and poised to produce tangible impacts.You thrive in complex, multi-stakeholder environments, adeptly translating ambiguous requirements into clear data models, architectures, and standards. You possess a deep understanding of how contemporary data platforms bolster AI, analytics, and operational systems, and how to design them effectively.Your role will involve close collaboration with engineers, analysts, policymakers, and client stakeholders to build data ecosystems that are not only technically robust but also user-friendly, trustworthy, and aligned with strategic objectives.WHAT YOU WILL DO | Design and implement scalable, secure, and high-performing data architectures across both cloud and hybrid environments.Establish enterprise data models, standards, and governance frameworks to ensure consistency and interoperability.Architect modern data platforms (data lakes, warehouses, lakehouses) to support analytics, AI, and operational use cases.Lead client engagements as a trusted advisor on data strategy, architecture, and platform design.Translate business and policy objectives into structured data solutions and pipelines.Establish data governance practices, including data quality, lineage, cataloguing, and more.

Join our dynamic team at mexdigital as a Data Analyst. We are looking for a detail-oriented individual who is passionate about transforming data into actionable insights. You will be responsible for analyzing complex data sets, generating reports, and presenting findings to stakeholders. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to data-driven decision-making.

About SFORS SFORS stands out in the global financial markets for its proprietary trading and leadership in pre-market activity. With more than 20 years in the stock market, the firm’s track record is built on talent development, advanced trading technology, strong risk management, and innovative strategies. SFORS operates solely with proprietary funds, focusing on internal growth and long-term sustainability. Role Overview: Data Analyst The Data Analyst will turn complex data into clear, actionable insights that shape business strategy. This role partners with stakeholders to define key performance indicators, build accessible dashboards, and deliver analysis that drives strategic decisions. The analyst helps connect detailed data sets with business needs, ensuring data stories are both accurate and engaging. Main Responsibilities Analyze data to spot trends, anomalies, and areas for growth. Design and maintain automated Business Intelligence dashboards that provide real-time KPI insights. Translate business questions into technical requirements and present findings to non-technical stakeholders. Work with the Data Engineering team to validate data quality and support data model verification. Location This position is based in Dubai, United Arab Emirates.

The Managed Port Calls team is seeking a Staff AI Engineer to spearhead AI innovation across the Marcura platform. This position is pivotal in architecting and delivering AI-driven features that significantly enhance operational efficiency, predictive analytics, and informed decision-making for our stakeholders.As a hands-on role, you will be responsible for executing the development of production-grade AI systems, mentoring fellow engineers in AI/ML best practices, and selecting the most suitable technologies and frameworks. Collaborating closely with product, backend, and data teams, you will integrate intelligent solutions throughout the platform, ensuring our AI applications are scalable, reliable, and provide tangible business value.Key responsibilities include:Transforming manual processes into fully automated systems.Implementing partial automation for processes where full automation is not feasible.Enhancing operational efficiency for both the operations team and clients.Minimizing repetitive manual tasks primarily for the operations team.Predicting outcomes based on existing historical data.Forecasting costs using historical information.Developing chatbot-style task automation.

DeepLight AI is a premier AI and data consultancy renowned for its expertise in deploying intelligent enterprise systems across diverse sectors, with a strong focus on financial services and banking. Our dedicated team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with an acute understanding of intricate business operations.We are on the lookout for an innovative Data Architect to lead the strategic design of our most sophisticated enterprise Lakehouse implementations. In this high-impact consultancy role, you will take ownership of the Medallion Architecture roadmap, guiding high-level decision-making within SAF/ARB forums and establishing the gold standard for Apache Iceberg tables — encompassing partitioning strategies, schema evolution, and time travel. Your role will involve bridging the divide between abstract design and practical application, leading Data Factory squads, and mentoring AWS Glue Engineers to ensure adherence to global modeling and lineage standards.Technical prowess is just part of the equation; we seek a master communicator who can engage and influence senior stakeholders effectively. You should be capable of compellingly presenting your architectural vision, adeptly managing complex escalations, and translating intricate metadata and lineage strategies into tangible business value. If you are a technical authority eager to shape the trajectory of large-scale transformations in financial services and establish reusable design patterns that set our firm apart, we invite you to lead our architectural practice.

Join Our Team as a Driver and Data Collector!At Terry Soot Management Group (TSMG), we specialize in field data collection where automation cannot reach. Our mission is to provide detailed and accurate data through counting features, capturing images, recording videos, and documenting speech. Since our inception in 2017, we have expanded our teams across Europe and North America, always ready to take on new challenges.Project OverviewWe are currently seeking enthusiastic drivers to assist in collecting images of streets, key points of interest, and public areas throughout the EU. You will operate vehicles equipped with 360-degree removable cameras that capture everything around you, storing these images for future enhancements of one of the world's most popular online maps.Your role will involve following specific routes in commercial districts and historical sites, ensuring that we gather high-quality images, even revisiting areas as needed due to weather conditions. The project is expected to last between three to six months, offering diverse data collection opportunities.The perfect candidate will be someone who enjoys driving, is familiar with local traffic patterns, and possesses a strong sense of responsibility and reliability.The work schedule is Monday to Friday, with 8-hour shifts totaling 40 hours per week. Weekend work may be necessary during weather-related downtime.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.