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Opportunity with TMC & TMC Middle EastWe’re looking for an AI Product Manager to lead the delivery of Generative AI and Agentic AI solutions that drive real business impact across the organization.Own end‑to‑end delivery of GenAI products: conversational agents, AI copilots, and self‑service journeysTranslate business needs into AI features, workflows, and user storiesLead backlog prioritization, sprint planning, UAT, and releases in an agile environmentCollaborate closely with AI Engineers, Data Scientists, Data Engineering, CRM & ERP teamsEnsure seamless integration with enterprise systems (CRM, ERP, internal platforms)Track product KPIs: adoption, response quality, efficiency gains, and business valueDrive user adoption through demos, training, and continuous feedback loops5+ years experience in product management, AI/ML solutions, or digital product deliveryStrong hands‑on understanding of Generative AI, LLMs, and conversational AIProven ability to deliver enterprise AI products and cross‑functional initiativesExperience translating business objectives into measurable outcomes and KPIsSolid stakeholder management and communication skillsExperience with CRM/ERP integrations (e.g., Salesforce)Exposure to enterprise AI platforms, APIs, data pipelines, or ML workflowsKnowledge of tools like Databricks, MLflow, or similar Show more Show less
Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.Role OverviewWe are seeking an experienced AI Data Engineer to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role will focus on building scalable data pipelines, predictive models, and GenAI-powered applications that enable more personalised trading experiences and support data-driven decision-making across the business.Key ResponsibilitiesCollaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse that will be used for reporting across numerous teams, focused on customer retention and LTV. Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels, especially around predictive modelling, churn prediction and customer segmentation. Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences. Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks. Qualifications & RequirementsStrong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance or product behaviour. Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first party databases, marketing platforms or other data collection platforms. Expertise in using Python todeploy machine learning solutions end to end, especially around predictive modelling and customer segmentation. Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV. Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases. Previous exposure to ETL tools (e.g., dbt, AWS Glue) and cloud environments (preferably AWS, SageMaker). Strong communication skills with the ability to present complex data insights to non-technical stakeholders and support business strategy. Why Join Us?Work with an industry-leading global financial institution. Competitive salary and comprehensive employee benefits. Opportunities for professional growth and career advancement. Collaborative, inclusive, and dynamic work environment. Commitment to innovation and professional excellence. Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide.Our mission is to provide exceptional products and services to our clients — and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole.As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators.Positions available across our 25+ global offices — Dubai, Hong Kong, Singapore, London, Sydney, and more. 🌐 Learn more: www.multibankgroup.comMultiBank Group is an equal opportunity employer committed to diversity and inclusion. By submitting your application, you agree that your personal data will be processed in accordance with our Privacy Policy. Show more Show less
About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You WillInnovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If YouHold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.This is a hybrid role that can be based in either our Abu Dhabi or Doha office Show more Show less
Job DescriptionThe College of Information Technology (CIT) is looking to hire a faculty member in Computer Science with a focus on Data Science and AI to build on the strength of its current research programs to create new multidisciplinary research initiatives and partnerships, across and beyond the university campus, critical to its long-term stability and growth. About the Position: We seek faculty candidates with strong research records in all areas of Artificial Intelligence and Data Science, with a special emphasis on the theoretical foundations and applications of Data Sciences and AI/ML/Computer Vision in a wide range of fields including Smart Health Systems, Health Informatics, Cloud Computing, Robotics, Business Intelligence, Agriculture, and Decision Support Systems. Successful candidates are expected to complement and enhance current research at the College and contribute to the teaching of both undergraduate and graduate courses across programs. Candidate Qualifications: Candidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs. Faculty rank is commensurate with qualifications and experience. The positions will remain open until filled and only short-listed candidates will be contacted. The UAEU and CIT are committed to fostering a diverse, inclusive, and equitable environment and culture for students, staff, and faculty. Application Instructions: Applications must be submitted online at https://jobs.uaeu.ac.ae/ A completed application must include: A cover letter reflecting on your interest and alignment with CIT’s mission; An up-to-date curriculum vitae; A research statement, describing current and future research; A teaching statement, describing teaching philosophy; and The names and contact information for at least three recommenders. About the UAEU: The United Arab Emirates University (UAEU), ranked 229 in global QS ranking, is the first academic institution in the United Arab Emirates. Founded by the late Sheikh Zayed bin Sultan Al Nahyan in 1976, UAEU is committed to innovation and excellence in research and education. As the country’s flagship university, UAEU aims to create and disseminate fundamental knowledge through cutting-edge research in areas of strategic significance to the nation and the region, promote the spirit of discovery and entrepreneurship, and educate indigenous leaders of the highest caliber.Minimum QualificationCandidates must hold a Ph.D. degree in computer science, information science or closely related areas from a recognized university. Preferred qualifications include: Established record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Evidence of excellence in teaching and student supervision at the undergraduate and graduate levels. Ability to work collaboratively with faculty across multiple departments and programs.Preferred QualificationEstablished record of discipline specific research publications in internationally recognized journals and conferences. Demonstrated experience writing and securing grants and contracts. Excellence in teachingClose Date Kindly apply before the closing date.31/07/2026ApplyDepartmentDivisionGradePosting NumberPosition Number Show more Show less
Role: Data Scientist (Remote)Location: RemotePayout: $59 - $114/hourRole OverviewWe are hiring a Data Scientist to turn data into decisions. In this role, you will run experiments, build models, and partner with product and leadership to drive business outcomes. The ideal candidate has strong statistical fundamentals, a pragmatic approach to modeling, and clear communication skills.Key Responsibilities- Design and analyze experiments, A/B tests, and causal studies.- Build predictive models including regression, classification, forecasting, and ranking.- Evaluate AI and LLM output quality using structured methodologies.- Partner with product and leadership on data-driven decisions.- Communicate findings through dashboards, documents, and presentations.- Define and monitor key business metrics.Required Skills & Qualifications- 2+ years as a data scientist, quantitative analyst, or ML practitioner.- Strong Python (Pandas, NumPy, scikit-learn) and SQL.- Statistical fundamentals: hypothesis testing, experimental design, power analysis.- Ability to explain technical concepts to non-technical stakeholders.- Analytical rigor and curiosity.- Experience with data visualization.Preferred Qualifications- Deep learning experience (PyTorch, TensorFlow, Hugging Face).- LLM evaluation frameworks (DeepEval, RAGAS, LangSmith).- Causal inference (DoWhy, EconML) or Bayesian methods.- BI tools such as Tableau, Looker, or Power BI.- Experience with R, Stata, or MATLAB.What We Offer- Remote and flexible work environment.- Contract and full-time options available.- Data-rich problem space with real business impact.- Collaborative and analytics-driven team culture.- Learning opportunities across modern data and ML tools.Equal Opportunity EmployerWe hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.Apply Now! Show more Show less
Job Title: Data ScientistJob Type: ContractorLocation: RemoteJob SummaryJoin our customer team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. You will leverage your expertise in statistics, mathematics, and programming to tackle challenging data problems, ensuring clean, robust, and insightful analyses. This is an exciting opportunity to work in a dynamic, expert-driven environment that values clear communication and innovative thinking.Key ResponsibilitiesCollect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.Develop, validate, and implement statistical models to extract actionable insights from complex data.Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.Continuously improve analytical methodologies and automation processes to enhance data workflows.Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations.Required Skills And QualificationsExpertise in statistics, mathematics, and data analysis techniques.Proven experience in collecting, handling, and cleaning large, complex data sets.Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling.Strong data modeling skills with experience in building and validating predictive models.Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.Meticulous attention to detail and commitment to data quality at every stage.Excellent written and verbal communication skills, with an emphasis on clarity and precision.Preferred QualificationsExperience working in a remote, cross-functional, or customer-focused team environment.Background in developing and deploying machine learning solutions in production settings. Show more Show less
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