Solutions Consultant at addepar1 | DIFC, Dubai

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.

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.

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.

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.

Whiteshield seeks a Product Manager to guide its Data and AI Products in Dubai. This position shapes the strategy and delivery of solutions that use data and artificial intelligence to generate actionable insights. The Product Manager works with teams across the company to spot market trends, define what products should do, and manage each product from concept to launch. Key responsibilities Set the vision and lead execution for data and AI products Work with teams from different functions to understand client and market needs Define product requirements and manage the entire product lifecycle Use knowledge of data analytics and AI to help create new offerings Offer insights that influence the product roadmap Help keep Whiteshield's data and AI products aligned with changing client needs Location This role is based in Dubai, United Arab Emirates.

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.

Cygnify is hiring a Product Manager - Data & AI Solutions for its Dubai office. This role centers on building digital products that turn complex datasets into practical tools for the labor and education sectors. The position blends data science, engineering, and policy, requiring close work with cross-functional teams to guide product direction, deliver analytics capabilities, and create measurable results. There is significant responsibility here, with the potential to influence policy and outcomes on a global scale. Product strategy and vision Define and guide the product vision, strategy, and roadmap to match business goals and client needs. Find ways to use data, analytics, and AI to address complex policy and economic challenges. Analytical product development Lead the creation of data-driven features such as dashboards, analytical models, and decision-support tools. Collaborate with data scientists to set up analytical frameworks, models, and data pipelines. Turn complex analytical outputs into clear, intuitive product experiences. Product discovery and problem structuring Break down complex policy and business problems into scalable, data-informed product solutions. Conduct user research, stakeholder interviews, and market analysis to shape product development. Experimentation and data-driven iteration Plan and run experiments, including A/B testing, feature validation, and model assessment. Apply data analytics to test assumptions and support ongoing improvement. Requirements and delivery Translate business and analytical needs into clear specifications for engineering, data science, and design teams. Oversee the full product lifecycle from concept through launch and ongoing iteration.

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.

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.

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.

Join our dynamic team at Delivery Hero as a Senior Product Manager - AI. In this pivotal role, you will lead innovative product strategies that harness the power of artificial intelligence to enhance our delivery services. Collaborate with cross-functional teams to design, develop, and implement cutting-edge solutions that drive operational efficiency and improve customer satisfaction.

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.

Join our dynamic team at vams as a SAP Finance Consultant. You will play a pivotal role in transforming finance operations through SAP solutions. Your expertise will help us enhance financial processes, optimize systems, and drive innovation within our clients' financial landscapes. We are looking for a consultant who is passionate about finance and technology, eager to collaborate with cross-functional teams, and committed to delivering exceptional results.

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 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.

Role Summary:Join our dynamic multidisciplinary clinical team at GluCare Health as a Part-Time Urologist Consultant. This role primarily involves the assessment, diagnosis, and management of urological conditions linked to metabolic health, diabetes, and men's health, including the provision of low-intensity shockwave therapy (Li-SWT) when clinically appropriate.The ideal candidate will work collaboratively with endocrinologists, cardiologists, dietitians, and other specialists to ensure comprehensive, patient-centered care.Key Responsibilities:Clinical Care:Conduct outpatient urology consultations, assessments, and follow-ups.Diagnose and manage urological conditions, including:a) Erectile dysfunctionb) Lower urinary tract symptoms (LUTS)c) Benign prostatic hyperplasia (BPH)d) Male fertility and hormonal-related urological issuesAdminister and oversee low-intensity shockwave therapy (Li-SWT) for erectile dysfunction and other approved indications, adhering to clinical guidelines and GluCare protocols.Create tailored treatment plans based on patients’ metabolic and overall health profiles.Prescribe medications and order diagnostic investigations within the DHA scope of practice.Multidisciplinary Collaboration:Engage with endocrinologists, cardiologists, and allied health professionals to foster coordinated, patient-focused care.Participate in multidisciplinary case discussions and care planning.Contribute to integrated care pathways for patients with diabetes and metabolic syndrome.Quality, Compliance & Documentation:Maintain precise and timely medical records within GluCare’s EMR system.Ensure adherence to DHA regulations, clinical governance standards, and GluCare policies.Follow infection control, patient safety, and ethical practice standards.Patient Experience & Education:Provide high-quality, compassionate patient care with a strong emphasis on education and shared decision-making.Inform patients about lifestyle factors, metabolic health, and treatment alternatives related to urological conditions.