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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

Not just a job, but a careerYokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.About The TeamOur 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.Job PurposeWe are seeking a highly skilled AI/ML Engineer with expertise in Data Science to design, implement, and deliver advanced AI-driven solutions for the Oil & Gas and Petrochemical industries. The ideal candidate will possess strong technical skills in Python, machine learning, and data analytics, combined with the ability to collaborate with cross-functional teams and engage with customers to solve complex business challenges. The individual is also responsible for owning AI/ML business outcomes and implementation strategy while supporting Digital Enterprise Business Unit / Solution Division in developing a differentiation in a high-growth competitive environment in Yokogawa Middle East & Africa region.Key Responsibilities & AccountabilitiesImplement AI/ML solutions using Python and perform data analysis in collaboration with CoE solution architects with Oil & Gas domain expertise.Conduct technical analysis leveraging AI/ML technologies and Data Science skills, including gathering requirements, performing gap analysis, and identifying opportunities to apply AI/ML to solve customer challenges.Provide guidance on suitable AI/ML and data analytics solutions, and support business portfolio management, solution design, and demonstrations.Ensure client expectations are clearly understood and met through the application of AI/ML and Data Science solutions.Manage the timely and high-quality completion of assigned deliverables.Ensure adherence to AI/ML and Data Science best practices and methodologies throughout project execution.Offer expert knowledge and experience to estimate the technical effort required for implementing complex AI solutions.Qualification And ExperienceBachelor’s degree in Engineering or Computer Science with a focus on AI/ML/Data Science, plus a minimum of 2 years of industry experience in AI-based software development or related engineering disciplines.Willingness and ability to travel across the Yokogawa Middle East & Africa region.SkillsStrong communication skills, collaborative mindset, and ability to energize and work effectively within a team.Proficiency in Python programming with demonstrated experience in implementing AI/ML solutions.Solid understanding of machine learning concepts (e.g., Supervised, Unsupervised Learning, Reinforcement Learning, Large Language Models) and hands-on experience applying algorithms such as Linear Regression, K-Means, Support Vector Machines, XGBoost, etc in Python.Comprehensive knowledge of Data Science, including statistical analysis, machine learning, and data visualization techniques.Experience with cloud-based machine learning platforms (e.g., Azure ML Studio, AWS SageMaker) is a plus.Familiarity with Oil & Gas, Petrochemicals, or specialized chemical domains is an advantage.Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.Are you being referred to one of our roles? If so, ask your connection at Yokogawaabout our Employee Referral process! 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

DescriptionMohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.About MBZUAI – A Global Leader in AI Research and EducationMBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutionsFunding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.Exceptional Benefits:Comprehensive health & life insuranceRelocation support for international facultyState-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computingLive in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenitiesIndustry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakersQualificationsThis position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.Application InstructionsTo Apply For This Position, Please Submit The FollowingCover letterCurriculum VitaeStatement of research vision and interestsStatement of teaching philosophy and experienceList of publicationsReference letters or the names and contact details for three referees (where referee details are provided, each referee will be contact to upload their reference letters via Interfolio)MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.Be a part of AI’s future – apply today at MBZUAI!#MBZUAI #careeropportunities #AIEqual Employment Opportunity StatementMohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability. Show more Show less

About Deloitte: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.Our PurposeDeloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.Our shared values guide the way we behave to make a positive, enduring impact:During your tenure as a Business Analyst, you will demonstrate and develop your capabilities in the following areas:Team with others to produce high quality deliverables to ensure superior client experienceCollect, assimilate, and analyze relevant data and use standard processes and tools to help surface and support solutionsUnderstand basic financial concepts and able to research and find financial and business performance informationConduct in depth research and benchmarking analysis to provide clients and team with insights on best practices and bring forward potential solutionsApply structured thinking and frameworks to organize concepts, identify gaps, and communicate ideas clearly to team members Find and leverage a diverse set of resources that can provide team with insights and potential solutions and share findings with othersPresent an approachable and professional style while engaging and communicating with others in an effort to build lasting relationships across clients and teamsValue and consider the diverse perspectives and backgrounds of colleagues and clientsApply technology fundamentals to client situations and demonstrate basic understanding of new and emerging technologies such as Robotic Process Automation (“RPA”), Artificial Intelligence (“AI”), IoT, Blockchain and cloudUnderstand how a business operates and support in the development and/ or improvement of business processesLeadership CapabilitiesBuild own understanding of our purpose and values while exploring opportunities for impactDemonstrate strong commitment to personal learning and development; act as a brand ambassador to help attract top talentUnderstand expectations and demonstrate personal accountability for keeping performance on trackDemonstrate ability to own work and deliverables efficiently with minimum supervisionActively focus on developing effective communication and relationship-building skills internally and with clients Seek ways to provide informal coaching and guidance to peers and share knowledge and skills with wider audiencesRequired majorsIndustrial engineering, Electronics engineering, Economics, Systems Engineering , Computer engineering, Software engineering, Computer Science, Management Information Systems, IT, Finance, Business Administration, Data, Analytics, Machine Learning, Business Administration, Information Systems, Business Management, Artificial Intelligence, Strategic Management, Business Strategy, Motion or Graphic Design, HR, Management, Administration, Industrial Engineering, Marketing and System Engineering, Finance, Accounting, Mechanical Engineering, Financial Engineering, Language & translation and MathQualifications And Technical CapabilitiesBased in the UAE – UAE NationalUndergraduate degreeMBA or a relevant master’s degree or certificate is a plusFluency in written and spoken English, Arabic is a plusExcellent knowledge in MS office applications especially in PowerPoint, Word and ExcelExcellent communication and people skills, with a strong emphasis on team workingAbility to operate and understand excellent project and program management disciplines including production of project plans and key quality program deliverablesStrong administrative and numeracy skills and ability to analyze complex data with good attention to detailsAbility to handle multiple tasks and responsibilities in a deadline-oriented environment and flexible work hoursWillingness to travel (required) Show more Show less

We are looking for a skilled AI Developer with strong Python expertise to design, develop, and deploy AI/ML solutions that solve real-world business problems. The role involves working with data, building models, optimizing algorithms, and integrating AI capabilities into applications and platforms.Key ResponsibilitiesDevelop, train, test, and deploy machine learning and AI models.Write efficient, scalable Python code for data processing, model development, and automation.Work with large datasets for data cleaning, feature engineering, and analysis.Design and implement NLP, computer vision, or predictive analytics solutions as required.Integrate AI models into production systems using APIs or microservices.Optimize model performance, accuracy, and scalability.Collaborate with data engineers, software developers, and business stakeholders.Monitor models in production and retrain as needed.Document technical designs, workflows, and model performance metrics.Required SkillsStrong proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.Solid understanding of machine learning algorithms, statistics, and data structures.Experience with REST APIs, Git, and version control.Knowledge of data preprocessing, visualization, and model evaluation techniques.Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.Strong problem-solving and analytical skills.Preferred QualificationsExperience with deep learning, NLP, or generative AI frameworks.Exposure to MLOps tools, Docker, or Kubernetes.Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field. Show more Show less