AI/ML Engineer at Brain Co. | Abu Dhabi

Brain Co.Abu Dhabi

On-site Full-time

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Role Overview:As an AI/ML Engineer at Brain Co., you will be pivotal in deploying cutting-edge models aimed at automating diverse real-world challenges across sectors like healthcare, government, and energy. You'll transform research breakthroughs into actionable solutions for various nations, enabling AI technology to become both accessible and impactful. Your Responsibilities:Innovate and Deploy: Architect and implement advanced LLM models to address real-world challenges, particularly focused on automating intricate manual processes across various sectors. Optimize and Scale: Develop scalable data pipelines, refine models for peak performance and accuracy, and prepare them for production. Oversee and maintain deployed models to ensure continuous value delivery worldwide. Make a Difference: Participate in projects that optimize advanced energy production systems, modernize essential government workflows, and enhance patient outcomes in public healthcare systems. Your contributions will significantly influence how AI benefits individuals and society.

About the job

About Brain Co.
Brain Co. is an innovative Applied AI startup founded by visionaries Elad Gil and Jared Kushner, supported by prominent figures in Silicon Valley such as Patrick Collison (CEO of Stripe) and Andrej Karpathy (Cofounder of OpenAI). Our mission is to create an AI platform and applications that address critical challenges faced by major institutions around the globe, effecting real-world change.

Our achievements include:

Accelerated construction permitting for a government, resulting in an 80% increase in efficiency and unlocking over $375 million in value.
Enhanced supply chains for a leading global energy firm, achieving a 30% reduction in costs and 99% reliability, preventing over $100 million in losses.
Improved hospital patient care across national health systems, yielding 40% better outcomes with 80% less administrative workload.
Secured a $30 million Series A funding round from top-tier investors.
Assembled a talented team of over 40 AI specialists from top companies like Tesla, Google DeepMind, NVIDIA, and Databricks.

At Brain Co., your work will directly influence real-world applications rather than remaining confined to research. We are rapidly expanding and looking for exceptional individuals ready to take charge from day one.

About Brain Co.

Brain Co. is a forward-thinking Applied AI startup that collaborates with some of the most influential builders in Silicon Valley. Our focus is on creating practical AI solutions that address pressing global issues, with a commitment to driving substantial impact through technology.

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Full-time|On-site|Abu Dhabi, Abu Dhabi, United Arab Emirates

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, boasting a rich history of delivering intelligent enterprise systems across various sectors, with a strong focus on financial services and banking. Our diverse team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with an in-depth understanding of intricate business operations.The Generative AI Solution Architect is a pivotal leadership position tasked with designing, orchestrating, and expanding ADCB’s Artificial Intelligence ecosystem. You will be the chief architect for innovative customer and employee experiences, effectively linking ambitious product aspirations with reliable, enterprise-grade technology. This role emphasizes the seamless integration of Generative AI, Large Language Models (LLMs), agentic workflows, and RAG pipelines into the bank's wider digital value streams. You will not only create models but also construct secure, compliant, and highly scalable systems that transform the bank's operations in a digital-first environment.As the Generative AI Solution Architect, your key responsibilities will include:Designing comprehensive solutions for Conversational AI, LLM-based agents, and enterprise knowledge platforms (RAG) that align with the bank's strategic vision.Assessing and selecting the most suitable technology stack (e.g., Azure OpenAI, LangChain, Vector Databases) while advocating for the reuse of APIs and microservices to reduce technical debt.Leading and mentoring tech leads and engineering teams on AI architecture principles, ensuring high-quality technical implementation within a scaled agile framework.Creating and maintaining detailed solution architecture documentation to support platform-level governance and regulatory compliance.Acting as the primary technical liaison for internal stakeholders, translating complex AI capabilities into clear business value propositions and product specifications.Driving the rapid prototyping of innovative solutions such as multimodal AI and agentic systems, balancing speed-to-market with enterprise-level security.Providing support, coaching, and mentorship to junior team members as needed.Taking on additional responsibilities as requested by management.At DeepLight AI, our most valuable asset is the expertise of our team.While technical proficiency is crucial to our work, the ability to connect complex data science with actionable business outcomes is what defines success at DeepLight.We seek individuals who are not only top-tier in their respective fields but also effective communicators and persuasive advocates for their skills.As the face of our firm, you will be responsible for establishing trust, clearly articulating the rationale behind your technical decisions, and effectively promoting your expertise.

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Full-time|On-site|Abu Dhabi, Abu Dhabi, United Arab Emirates

Role OverviewAs the Director of the Government-Wide Data Cleansing Program, you will spearhead initiatives aimed at enhancing data quality across various government entities. Your leadership will ensure the implementation of effective data cleansing strategies, enterprise data modeling, and dataset publication, thereby promoting the availability of high-quality, trustworthy data. You will also facilitate ongoing monitoring and governance, fostering continuous improvements in data quality.Primary Responsibilities• Develop and direct the overarching data cleansing strategy for the government, ensuring adherence to data quality standards and alignment with governmental priorities.• Create a structured framework for prioritizing essential datasets and orchestrating a phased execution across various entities.• Standardize, automate, and scale the data cleansing lifecycle utilizing cutting-edge tools and AI solutions, while governing reusable processes.• Implement and manage a multi-vendor model for data cleansing, ensuring synchronized execution and performance oversight across entities.• Oversee large-scale initiatives aimed at improving data quality, ensuring compliance with established quality metrics and thresholds.• Guide the development of enterprise data models for government entities, ensuring compliance with overarching data standards and interoperability requirements.• Supervise the creation, standardization, and dissemination of cleansed datasets within the Government Wide data catalog, promoting accessibility and reuse.• Lead the development of data quality dashboards to monitor key performance indicators and track cleansing progress.• Establish and chair governance bodies to ensure timely delivery, facilitate issue resolution, and ensure alignment with stakeholders.• Develop and maintain sustainable data quality and cleansing frameworks for long-term enhancement and upkeep.• Regularly report to senior leadership regarding program advancements, risks, and impact on data maturity.

May 4, 2026

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Data Platform Technology Architect

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Full-time|On-site|Abu Dhabi, Abu Dhabi, United Arab Emirates

Role OverviewAs the Data Platform Technology Architect, you will spearhead the architecture, design, and continuous enhancement of the core data platforms for government operations. Your role is pivotal in ensuring that these platforms are scalable, secure, and capable of seamless integration across various government entities. You will facilitate data exchange, support advanced use cases, and ensure compliance with government-wide strategies and policies.Primary Responsibilities• Define and manage the comprehensive architecture of core data platforms, emphasizing scalability, performance, and security.• Provide strategic advice on technology selection, solution architecture, and platform harmonization to ensure effective and sustainable deployments that align with government data strategies and policies.• Lead the architecture and management of a complex ecosystem of data platforms, ensuring interoperability and consistency across multiple vendors and technologies.• Design and oversee a data-sharing platform that enables secure and standardized data flows among entities.• Supervise the implementation and evolution of components for data sharing, provisioning, and performance metrics.• Guide the design and execution of entity-level data solutions, including data ingestion, storage (data lakes and warehouses), catalogues, master data management, integration layers, and analytics capabilities.• Ensure interoperability across government entities through standardized data exchange protocols, APIs, and integration practices.• Manage the lifecycle of platforms, including setup, operations, upgrades, migrations, and the retirement of legacy systems.• Engage stakeholders to align the platform roadmap with strategic objectives and evolving data use cases.• Collaborate with engineering teams and vendors to guarantee high-quality delivery and deployment of platforms.• Drive adoption and realization of platform value through enablement and activation of use cases.Essential Qualifications• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.• Over 20 years of experience in technology architecture, particularly in designing and deploying large-scale data platforms in multinational or multi-entity environments, preferably in Europe or North America.• Demonstrable experience in architecting and implementing cloud-based data platforms, data marketplaces, and integration ecosystems.

May 4, 2026

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Data Science Specialist

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Full-time|On-site|Abu Dhabi

Key Responsibilities: Collaborate with various business segments within the Personal Banking Group (PBG) to harness analytics capabilities, translating insights into actionable strategies for customer acquisition, cross-selling, up-selling, retention, and customer recovery.Employ advanced statistical and predictive modeling techniques to develop, maintain, and enhance multiple decision-making systems. Design experiments and validate business hypotheses effectively.Assess available and relevant data within the bank for analytics purposes, identifying internal and external data sources, and leveraging new data collection methods such as geo-location and unstructured data from emails, logs, and social media.Innovate and implement effective strategies to tackle business challenges using analytics, clearly communicating results and methodologies.Analyze patterns and variations in data characteristics, including volume and speed, to support predictive analysis initiatives using diverse data types (e.g., images, text, clickstream, or metering data).Ensure continuous tracking and monitoring of the performance of decision systems and statistical models developed by the data science unit.

Sep 26, 2025

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