project engineer

electrical engineer

mechanical engineer

civil engineer

qa/qc engineer

ml engineer

Fuse Energy

<div>Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. 
 
We&rsquo;re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. 
 
But we&rsquo;re not stopping there. We&rsquo;re also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. 
 
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. 
 
Responsibilities<ul><li>
Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)</li><li>
Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows</li><li>
Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms</li><li>
Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing</li><li>
Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts</li><li>
Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space</li>
Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Minimum 3 years of engineering experience</li><li>
Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning</li><li>
Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)</li><li>
Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production</li><li>
Solid understanding of cloud technologies, containerisation and building scalable AI applications</li><li>
Ability to integrate AI/ML models into real-world applications, focusing on usability and performance</li><li>
Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment</li><li>
Experience working with large datasets, particularly in relation to demand and supply forecasting</li></ul>
Bonus<ul><li>
Experience or strong interest in energy markets and trading strategies</li><li>
Understanding of weather forecasting, energy demand patterns, and production modelling</li><li>
Exposure to Natural Language Processing (NLP) or other related fields</li></ul> 

Benefits 
<ul><li>
Competitive salary and an equity sign-on bonus</li><li>
Biannual bonus scheme</li><li>
Fully expensed tech to match your needs</li><li>
Paid annual leave</li><li>
Breakfast and dinner allowance for office based employees</li></ul></div>

Applied AI Engineer

Global Software Solutions Group

<div>
 
 About The Role
 
 
 
 We are looking for a Senior Software Engineer with a strong combination of backend engineering depth, applied AI experience, and blockchain/digital assets expertise. This role sits at the intersection of enterprise fintech and emerging technology &mdash; you will be building and scaling systems that matter, in an environment where your work has real-world financial impact.
 
 
 If you have spent years writing production-grade Node.js, have crossed into AI-integrated systems, and have hands-on experience with blockchain development and smart contracts &mdash; this role was built for you.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Designing and building scalable, high-availability REST and GraphQL APIs using Node.js and TypeScript
 </li>
 <li>
 Integrating AI/ML capabilities into backend services and fintech workflows
 </li>
 <li>
 Developing and deploying smart contracts for digital asset and crypto use cases
 </li>
 <li>
 Contributing to blockchain architecture decisions, protocols, and digital asset infrastructure
 </li>
 <li>
 Working within distributed microservices ecosystems &mdash; troubleshooting, optimizing, owning
 </li>
 <li>
 Collaborating across CI/CD pipelines, containerized environments (Docker, Kubernetes), and cloud platforms (AWS/Azure)
 </li>
 <li>
 Driving security-first development practices including JWT, OAuth, and SSO implementation
 </li>
 <li>
 Operating in an Agile environment with cross-functional squads
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What You Need to Bring
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience
 </li>
 <li>
 5+ years of hands-on Node.js and JavaScript in production environments
 </li>
 <li>
 Minimum 1 year in TypeScript
 </li>
 <li>
 Demonstrable AI/ML integration experience in real production systems &mdash; not just familiarity
 </li>
 <li>
 Blockchain development experience: smart contract development, digital assets, crypto protocols
 </li>
 <li>
 Solid understanding of Kafka, message queues, and event-driven architecture
 </li>
 <li>
 Experience with Docker and Kubernetes in production
 </li>
 <li>
 REST API design and GraphQL proficiency
 </li>
 <li>
 Banking, fintech, or financial services background strongly preferred
 
 
 </li>
 </ul>
 
 Strong advantage:
 
 
 
 <ul>
 <li>
 Experience with Solidity or other smart contract languages
 </li>
 <li>
 Exposure to DeFi protocols, tokenisation, or digital asset custody platforms
 </li>
 <li>
 API gateway experience (3Scale or equivalent)
 </li>
 <li>
 Familiarity with regulatory and compliance considerations in digital finance
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Degree or postgraduate qualification in Computer Science, Engineering, or a related field &mdash; or equivalent demonstrated experience.
</div>

Senior Software Engineer - Node.js, AI & Blockchain

Yassir

<div>
 
 About Yassir
 
 
 
 Yassir is the Super App designed to make your life easier. Yassir&rsquo;s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency &amp; Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Yassir is seeking a highly skilled and motivated Data Scientist, of any level, to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir&rsquo;s most critical problems
 
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 <ul>
 <li>
 The AI team is part of Yassir&rsquo;s central Data &amp; AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what&rsquo;s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us!
 
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it
 </li>
 <li>
 Some key areas we have to focus include: optimizing our Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing, optimizing our Dispatching capabilities, optimizing our Fraud Detection / Revenue Leakage Prevention capabilities, optimizing our Recommendations / Personalization capabilities, amongst others
 </li>
 <li>
 Identify and propose ML opportunities related to your scope and beyond
 </li>
 <li>
 Support with requirements definition and prioritization of ML projects
 </li>
 <li>
 Collaborate with cross-functional Engineering and Product teams
 </li>
 <li>
 Champion Data Quality as a critical input component to all ML solutions and Analytics
 </li>
 <li>
 Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
 </li>
 <li>
 Utilize Statistical and ML techniques, as appropriate, for model training
 </li>
 <li>
 Validate and tune ML models
 </li>
 <li>
 Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights
 </li>
 <li>
 Deploy and test ML applications using our MLOps infrastructureMonitor ML models on their technical performance, business impact and underlying data / concept drift
 </li>
 <li>
 Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting
 </li>
 <li>
 Maintain and improve technical documentation of delivered solutions
 </li>
 <li>
 Support the Data &amp; AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams
 </li>
 <li>
 Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities
 
 
 
 </li>
 </ul>
 
 Key Requirements - Essential
 
 
 
 <ul>
 <li>
 Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics
 </li>
 <li>
 Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience (more years of experience would be required for more Senior roles)
 </li>
 <li>
 Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices
 </li>
 <li>
 Comfortable with key Statistical concepts, such as statistical testing and causal analysis
 </li>
 <li>
 Analytical thinking and problem solving skills
 </li>
 <li>
 Engineering mindset focused towards delivering robust applied data science solutions
 </li>
 <li>
 Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling
 </li>
 <li>
 Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred
 </li>
 <li>
 Mastering of the end-to-end (ML) model development lifecycle
 </li>
 <li>
 Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English
 </li>
 <li>
 Positive attitude and resilience
 </li>
 <li>
 Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building
 </li>
 <li>
 Internal drive, self-motivation and ability to work independently including own effective project management
 
 
 
 </li>
 </ul>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with On-demand, Mobility or Financial Services companies
 </li>
 <li>
 Experience working on ML features for Digital Products (apps, websites)
 </li>
 <li>
 Experience with one or more from: Pricing / Economics related projects and/or modelling techniques (we welcome Economics / Econometrics backgrounds and experience), Fraud Detection related projects, Dispatching related projects, Personalization related projects
 
 
 
 </li>
 </ul>
 
 Join the ride!
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Mid/Senior - Data Scientist

Huspy

<div>
 
 The Story So Far: We&rsquo;re Building a Global Brand in Real Estate
 
 
 
 Huspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.
 
 
 Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we&rsquo;ve entered.We&rsquo;ve raised over $140 million (Series A and Series B) from the world&rsquo;s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.
 
 
 We&rsquo;ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world&rsquo;s most traditional industries. We&rsquo;re transforming how property transactions happen &mdash; faster, smarter, and better for everyone.We&rsquo;re not slowing down.
 
 
 The question is: will you be part of what&rsquo;s next?
 
 
 
 The Main Event: What You&rsquo;ll Drive, Build, and Own
 
 
 
 <ul>
 <li>
 Real Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.
 </li>
 <li>
 Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.
 </li>
 <li>
 Data Analysis &amp; Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.
 </li>
 <li>
 Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).
 </li>
 <li>
 Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.
 
 
 </li>
 </ul>
 
 The Perfect Match: What It Takes to Succeed at Huspy
 
 
 
 <ul>
 <li>
 Proven Experience: 4&ndash;8 years in applied data science/ML, delivering models that move real-world KPIs.
 </li>
 <li>
 SQL &amp; Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.
 </li>
 <li>
 MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
 </li>
 <li>
 Communication &amp; Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.
 </li>
 <li>
 Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
 </li>
 <li>
 Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.
 </li>
 <li>
 Academic Background: Bachelor&rsquo;s in STEM (Master&rsquo;s a plus).
 
 
 </li>
 </ul>
 By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
</div>

Data Scientist

<div>
 
 We help the world run better
 
 
 
 At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging &ndash; but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
 
 
 You will work with customers, identify high‑impact AI use cases in their SAP landscape, and build end‑to‑end solutions in close collaboration with multiple roles at SAP within product &amp; engineering and customer services &amp; delivery.
 
 
 
 You Will
 
 
 
 <ul>
 <li>
 Work directly with Public Sector customers in UAE to discover, prioritize, and frame AI use cases on top of S/4HANA and SAP BTP.
 </li>
 <li>
 Design and implement end‑to‑end AI solutions: data pipelines from SAP, model selection/integration (SAP Business AI / BTP services), and UI/process integration.
 </li>
 <li>
 Run agile cycles (PoC &rarr; pilot &rarr; production), gather user feedback, and drive adoption in real business processes.
 </li>
 <li>
 Act as the &ldquo;bridge&rdquo; between Dubai Lab customers and global SAP Product &amp; Engineering, feeding requirements, gaps, and patterns into the roadmap.
 </li>
 <li>
 Produce reusable accelerators (reference architectures, templates, best practices) that can be scaled across UAE and the region.
 
 
 </li>
 </ul>
 
 Expectations And Tasks
 
 
 
 You are able to translate business challenges into clear technical designs and deliver end‑to‑end, production‑ready solutions. You are confident working directly with customers, leading discovery sessions, delivering demos, and explaining technical trade‑offs in business terms. You are comfortable operating in a forward‑deployed role, taking ownership, collaborating closely with global teams, and staying motivated by creating real, measurable impact for customers. Experience working with local customers and partners is a plus.
 
 
 <ul>
 <li>
 Solid grounding in data and AI/ML concepts (data modelling, APIs, common AI patterns such as forecasting, classification, copilots/assistants).
 </li>
 <li>
 End to End process knowledge of fundamental Public Sector processes such as Budget Planning, Budget Execution, Grants Management or Funds Management.
 </li>
 <li>
 Knowledge of the Public Sector market, its evolution, industry-specific challenges and SAP&rsquo;s industry portfolio
 </li>
 <li>
 Confident in customer‑facing work and partner-facing work : discovery workshops, demos, handling challenging stakeholders, and explaining technical trade‑offs in business language.
 </li>
 <li>
 Software engineering background (e.g., Python/Java/TypeScript) plus hands‑on experience with SAP BTP, integrations, and at least one major SAP domain (finance, logistics, HR, public sector).
 </li>
 <li>
 Prototyping skills with tools like Claude Code or FIGMA.
 </li>
 <li>
 Comfortable operating like a &ldquo;forward‑deployed&rdquo; engineer: high ownership, ambiguity‑tolerant, collaborative with global teams, and motivated by real impact at customers.
 </li>
 <li>
 Fluent professional proficiency in English and Arabic (both written &amp; spoken) is a must
 
 
 </li>
 </ul>
 
 Where You Belong
 
 
 
 You will be part of a growing AI and industry expert team dedicated to serving customers across the United Arab Emirates. We are building a collaborative, high impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.
 
 
 This team thrives working together on fast-paced projects to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real world impact matters.
 
 
 This is a place for people who enjoy building something new. You will thrive here if you are customer centric, motivated by meaningful outcomes, and comfortable navigating fast evolving AI landscape.
 
 
 
 Bring out your best
 
 
 
 SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
 
 
 
 We win with inclusion
 
 
 
 SAP&rsquo;s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone &ndash; regardless of background &ndash; feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
 
 
 SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
 
 
 For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
 
 
 Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
 
 Successful candidates might be required to undergo a background verification with an external vendor.
 
 
 
 AI Usage in the Recruitment Process
 
 
 
 For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
 
 Please note that any violation of these guidelines may result in disqualification from the hiring process.
 
 
 Requisition ID: 450279 | Work Area: Solution and Product Management | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:
 
 
</div>

AI Product Specialist for Public Sector

MultiBank Group

<div>
 
 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 Overview:
 
 
 
 
 
 
 We 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 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Collaborate 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.
 </li>
 <li>
 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.
 </li>
 <li>
 Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences.
 </li>
 <li>
 Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 
 
 <ul>
 <li>
 Strong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance or product behaviour.
 </li>
 <li>
 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.
 </li>
 <li>
 Expertise in using Python todeploy machine learning solutions end to end, especially around predictive modelling and customer segmentation.
 </li>
 <li>
 Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV.
 </li>
 <li>
 Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases.
 </li>
 <li>
 Previous exposure to
 
 ETL tools
 
 (e.g., dbt, AWS Glue) and cloud environments (preferably
 
 AWS, SageMaker
 
 ).
 </li>
 <li>
 Strong communication skills with the ability to present complex data insights to non-technical stakeholders and support business strategy.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 
 
 <ul>
 <li>
 Work with an industry-leading global financial institution.
 </li>
 <li>
 Competitive salary and comprehensive employee benefits.
 </li>
 <li>
 Opportunities for professional growth and career advancement.
 </li>
 <li>
 Collaborative, inclusive, and dynamic work environment.
 </li>
 <li>
 Commitment to innovation and professional excellence.
 </li>
 </ul>
 
 
 
 
 
 Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
 
 
</div>

AI Data Engineer

Times World Information Technology

<div>We are looking for a Senior Data &amp; AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable back-end systems and data pipelines.
<div><h4 class="jobSectionHeader">Key responsibilities:</h4>
<ul><li>Design and develop scalable back-end systems</li><li>
Define and implement data architecture and database design strategies</li><li>
Build and optimize data ingestion and transformation pipelines
</li><li>Develop and maintain unified data models across multiple systems
</li><li>Design end-to-end data flows and integration strategies
</li><li>Collaborate with cross-functional teams to ensure efficient data handling and processing
</li><li>Ensure system scalability, performance, and reliability</li></ul><h4 class="jobSectionHeader">
Machine Learning &amp; AI Integration</h4><ul><li>
Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
</li><li>Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
</li><li>Consume and integrate outputs from ML models into data pipelines and backend systems
</li><li>Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams</li></ul><h4 class="jobSectionHeader">
Core Technical Skills</h4><ul><li>
Back-end &amp; System Design</li><li>
Expertise in system scalability and performance optimization
</li><li>Solid understanding of distributed systems and back-end architecture
</li><li>Data Engineering Concepts (IMPORTANT)</li><li>
Strong knowledge of data modelling (OLTP vs OLAP)
</li><li>Strong knowledge of data lake architecture (primary) and data warehousing concepts</li><li>
Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)</li></ul><h4 class="jobSectionHeader">
Core Platforms &amp; Technologies (Required)</h4>
Strong working knowledge of:<ul><li>
 Relational databases - strong hands-on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)</li><li>
Non-relational / NoSQL databases - working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)</li><li>
Graph databases - understanding of graph data models (e.g. Apache AGE, Neo4j concepts)</li><li>
Comfortable working across multi-database environments - relational, time-series, graph, and cache layers in a single architecture</li></ul>
Good to Have: Hands-on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms<h4 class="jobSectionHeader">
Data Ingestion &amp; Processing</h4>
Ability to design and implement:<ul><li>
Data ingestion pipelines
</li><li>Data transformation layers (ETL/ELT)
</li><li>Unified and scalable data models
</li><li>System Thinking &amp; Architecture</li></ul>
Ability to:<ul><li>
Design scalable back-end architectures
</li><li>Define and manage data flow across systems
</li><li>Guide integration strategies between multiple services and platforms</li></ul>
Good to Have<ul><li>
Experience with cloud platforms (AWS / GCP / Azure)
</li><li>Exposure to real-time data processing systems
</li><li>Knowledge of ML data pipelines or analytics workflows
</li><li>Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage</li></ul>
What We&rsquo;re Looking For<ul><li>
Passion for experimenting with new tools, frameworks, and ideas
</li><li>Ability to quickly prototype and iterate on features
</li><li>Interest in blending creativity with engineering
</li><li>Comfort working in less rigid, exploratory development environments
</li><li>Strong curiosity and self-learning mindset</li></ul>
Bonus Points If You<ul><li>
Use AI-assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
</li><li>Build side projects, prototypes, or experimental apps
</li><li>Enjoy rapid MVP development, or creative coding
</li><li>Stay updated with latest trends in AI, and developer tools</li></ul> 

</div><div><h4 class="jobSectionHeader">Requirements (Qualifications/Experience/Competencies)
</h4>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage 
 
5 - 7 years of experience
Ready to Join Us? 
 
If you are passionate about building modern AI-powered products and enjoy working on innovative digital solutions, we would love to hear from you. Immediate joiners are preferred. 
 
Please note: This position is open to candidates currently residing in the UAE only.</div></div>

Senior Data & AI Platform Engineer

Explore 309+ Ml engineer in Dubai this July. Find roles across top companies and apply now to boost your career.