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MBZUAI is seeking an Executive Director to provide overall vision, leadership, and strategic direction for the Institute for Agriculture & AI (IAAI). The Executive Director is responsible for shaping and executing the Institute’s mission at the intersection of artificial intelligence, agriculture, and sustainability. The role oversees strategy development, institutional management, partnership building, and resource mobilization, while representing the Institute to funders, government entities, industry partners, and the global research community. The Executive Director ensures the Institute’s long-term impact, relevance, and financial sustainability. Key ResponsibilitiesStrategic Leadership and VisionDefine and lead the Institute’s long-term vision, strategy, and priorities at the intersection of artificial intelligence, agriculture, and sustainability, in alignment with MBZUAI’s mission and global agendas.Translate complex agricultural and food-system challenges into AI-driven research, innovation programs, and scalable solutions with measurable impact.Position the Institute as a globally recognized center of excellence for responsible and impactful AI applications in agriculture.Institutional Management and GovernanceProvide executive oversight of the Institute’s research, infrastructure, partnerships, and operational functions, ensuring effective governance, accountability, and performance management.Establish and oversee planning, budgeting, and reporting frameworks to ensure financial sustainability and institutional resilience.Ensure alignment with policies, governance structures, and strategic priorities.Research Enablement and Cross-Functional CoordinationWork closely with research leadership, data engineers, technical teams, and operations functions to align infrastructure capabilities with scientific objectives and emerging research needs.Provide strategic input into infrastructure roadmaps, technology investments, and capacity planning to support the Institute’s long-term growth and impact.Partnerships, Fundraising, and External EngagementAct as the primary representative of the Institute to governments, donors, industry partners, and international organizations.Lead resource mobilization efforts, including fundraising, grants, and strategic partnerships that support research, infrastructure (e.g. HPC), and impact objectivesAcademic Qualifications RequiredA minimum of advanced degree in technology, development, agriculture, science, economics, public policy, or related fields.PhD is desirable but not mandatory where equivalent senior leadership experience is demonstratedProfessional Experience RequiredEssential:Proven senior leadership experience at the intersection of technology, agriculture, and development, ideally within regional or global, multi-country environments.Significant experience engaging at senior levels with governments, ministers, regulators, private sector leaders, donors, and international organizations.Strong understanding of cultural, political, and socio-economic contexts in low and middle-income countries (LMICs) and their implications for agricultural innovation and technology adoption.Excellent communication, negotiation, representation, and public speakingskills, with the ability to influence across sectors and disciplines.Preferred:Proven track record in building, leading, and sustaining multi-stakeholder partnerships involving governments, donors, research institutions, industry, and civil society.Experience managing research-to-impact pipelines, including the translation of research outputs into field deployment, policy uptake, or scalable solutions.Familiarity with cross-cutting themes such as gender inclusion, climate resilience, and sustainability within agricultural innovation and development programs. Show more Show less

EXO ARNVIND is exclusively scouting for a high-impact Head of AI Engineering for a major retail powerhouses in the UAE.Our clients is undergoing an ambitious, board-sponsored digital transformation to become "AI-first" enterprises. This is not a maintenance role; it is a mandate to build the organization’s "digital nervous system" from the ground up, with significant investment and executive-level backing.The RoleAs the Head of AI Engineering, you will own the long-term AI roadmap for the next decade. You are the bridge between visionary strategy and deep technical execution across retail, supply chain, and digital commerce.Strategic Leadership: Set and execute the enterprise-wide Data & AI strategy, identifying high-value use cases that drive measurable ROI.Full-Stack Build: Architect and scale the entire AI environment—from GPUs and Lakehouses to MLOps, Vector Databases, and SLMs.Innovation Engine: Lead cross-functional teams to build prototypes and move breakthrough solutions from concept to enterprise-wide adoption.Responsible AI: Establish governance frameworks for responsible AI usage and lead enterprise-wide upskilling initiatives.Operational Excellence: Deploy automation and advanced analytics across finance, customer experience, and physical logistics.Profile RequirementsWe are looking for a heavyweight leader with a "builder" mindset and a track record of scaling AI in complex environments.Experience: Minimum 12+ years in Data, AI, and Machine Learning, with proven success leading enterprise-scale programs.Deep Tech Stack: End-to-end expertise in AI lifecycle management, GenAI, retrieval systems, and domain-specific LLMs/SLMs.Innovation Background: Experience with AI product development, patents, or startup environments is highly valued.Physical AI: Demonstrated work in Robotics or Physical AI integration is a significant advantage given the retail/supply chain focus.Leadership: Ability to partner with C-suite executives to drive cultural and technological transformation.What’s in it for you?This is a high-visibility role in one of the world's fastest-growing tech hubs. Show more Show less

Job Title: AI/ML EngineerJob SummaryWe are seeking an AI/ML Engineer with strong fundamentals in machine learning and hands-on experience in building and deploying scalable models. The role involves data preprocessing, model development, and working closely with cross-functional teams to deliver ML-driven solutions.Key RequirementsB.Tech in Computer Science / Information TechnologyStrong proficiency in Python and SQLHands-on experience with ML frameworks such as TensorFlow or PyTorchExperience in data preprocessing, feature engineering, and model trainingAbility to develop and scale machine learning models for production useKey ExperienceData preprocessing and scalable model development 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

As a Full-Stack + AI Engineer, you’ll own verticals from UI to backend to AI pipelines. You’ll be at the core of how users talk to BOTty, get suggestions, and trust automation. Frontend Desktop/Cloud/AR mobile interface for fallback control Secure web portal for automation editing, logs, and remote access Explainability UI: “Why did BOTty do this?” Backend Local-first backend for event logs, ZeroConf device discovery, and API routing Authenticated SSL tunnel gateway (no cloud relay)Real-time routines, preferences, and presence tracking AI & Automation Build and fine-tune agentic routines (Learn → Observe → Adapt → React) On-device ML for micropatterns, low-latency NLU, and safety checks Personalization ledger, feedback loops, and bandit-style decision tuning Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Requirements Our Stack Frontend: React, Lit, Next.js, Tailwind, Shadcn UI Backend: Python, FastAPI, Node.js, SQLite, PostgreSQL, Mongo DB, TLS tunnels AI: CrewAI, LangChain, LlamaIndex, ONNX, OpenAI API Infra: RPi 5, Jetson, Cloud DevOps: Docker, DevContainers, GitHub Actions, OTA modules, local-only CI Have built and shipped agentic AI apps, ML-driven products, or full-stack SaaS Love debugging both frontend microinteractions and low-level sensor events Are comfortable working on hardware like Jetson/RPi, or eager to learn Enjoy working across disciplines — AI, UX, home automation, privacy Can take vague product ideas and make them real, fast Bonus if You… Won or placed in hackathons Built your own SaaS product(s) or dev tools Know Zigbee, BLE, Matter, or embedded Linux Have contributed to open-source AI or Web3 projects Enjoy voice UX, reactive UI, or agent architectures Benefits Competitive compensation + equity Work directly with founding team on product 0 → 1 Build something with lasting impact, privacy-first Fast-paced, respectful, async-friendly team culture Show more Show less

Job DescriptionWe are seeking a motivated and technically skilled Graduate Research Assistant (GRA) to support the project on climate resilience initiative focused on developing AI-driven tools for urban heat monitoring, vulnerability assessment, and decision support in Dubai. The GRA will play a central role not only in research activities but also in establishing and operationalizing the AI for Resilient Cities Lab, a new interdisciplinary research and innovation space dedicated to climate intelligence and smart urban systems.This position is ideal for candidates holding a Bachelor’s or Master’s degree in Computer Science, Data Science, GIS, Environmental Science, Engineering, or related fields. The role combines technical research, lab development, student engagement, and event coordination.Key Responsibilities1. Research Support & Technical Development Assist in deploying and monitoring field sensors during ground-truth validation campaigns. Assist in processing and analyzing satellite datasets (MODIS, Sentinel, Landsat) for Land Surface Temperature (LST) mapping. Support machine learning model development for urban heat analysis and spatial risk modelling. Contribute to data cleaning, feature engineering, and geospatial visualization tasks. Assist in developing components of the Heat Vulnerability Index (HVI). Support preparation of technical reports, research documentation, and datasets. 2. Establishment of the AI for Resilient Cities LabA major responsibility of this role will be supporting the setup and operationalization of the AI for Resilient Cities Lab, including: Coordinating the physical setup of the lab space (equipment arrangement, sensor setup, computing infrastructure, display systems). Assisting in procurement tracking and installation of hardware (e.g., environmental sensors, GPUs, thermal cameras if applicable). Developing lab documentation, safety guidelines, workflow templates, and onboarding materials. Supporting the creation of demonstration dashboards and visualization screens for visitors and stakeholders. Maintaining lab datasets, servers, and research repositories. Plan and coordinate urban heat and climate resilience hackathons, workshop, and trainings. Prepare presentation materials, lab demonstrations, and technical walkthroughs. RequirementsMinimum RequirementsEducation & Experience Currently pursuing or completed Master’s degree in Computer Science, Data Science, GIS, Environmental Science, Engineering, Urban Informatics, or related fields. Proven-track record of academic excellence Interest in climate resilience, urban sustainability, and AI applications. Technical Skills Proficiency in Python or R for data analysis. Basic knowledge of machine learning concepts. Familiarity with GIS tools (ArcGIS, QGIS, Google Earth Engine preferred). Experience working with datasets and dashboards. Basic understanding of remote sensing is an advantage. CompensationA fixed stipend will be provided, corresponding to the qualifications and experience.Application ProcessInterested candidates should submit the following:A detailed CV highlighting academic and research experiences. A cover letter explaining your interest in the position and relevant skills. Two academic or professional references Any evidence of experience to support the application Academic transcripts Portfolio/GitHub (if available) Applicant should be based in the UAE and should have a valid residence visaApplication Deadline: 20 April 2026 Show more Show less