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ai research engineer agentic post training 100 remote worldwide

Tether Operations Limited

<div><p><b><i>Join Tether and Shape the Future of Digital Finance</i></b></p><p>
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.</p><p></p><p><b><i>
Innovate with Tether</i></b></p><p><b>
Tether Finance: </b>Our innovative product suite features the world&rsquo;s most trusted stablecoin, <b>USDT</b>, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.</p><p>
But that&rsquo;s just the beginning:</p><p><b>
Tether Power: </b>Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.</p><p><b>
Tether Data: </b>Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like <b>KEET</b>, our flagship app that redefines secure and private data sharing.</p><p><b>
Tether Education</b>: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.</p><p><b>
Tether Evolution</b>: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.</p><p></p><p><b><i>
Why Join Us?</i></b></p><p>
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.</p><p>
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.</p><p><b>
Are you ready to be part of the future?</b></p><p></p><p><b>
About the job</b></p><p>
As a member of the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones).</p><p>
You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures integrating text, images, and audio, all optimized for tool augmented decision making.</p><p>
We expect you to have deep expertise in large language model architectures and substantial experience in post-training for agentic workflows, including tool use fine tuning, function calling, and reinforcement learning from feedback on multi turn interactions. You will adopt a hands-on, research driven approach to developing, testing, and implementing new post-training algorithms that unlock goal directed behavior, self correction, and reliable tool invocation.</p><p>
Your responsibilities include curating agentic training data (e.g., trajectories of tool use, reasoning chains, environment interactions), strengthening baseline performance, and identifying as well as resolving bottlenecks in post-training for tool augmented agents to achieve SOTA model quality. The goal is to build models that do not just know but also act, use tools, and adapt, pushing the limits of what agentic AI can achieve.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.</li><li>
Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration.</li><li>
Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.</li><li>
Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.</li><li>
Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.</li><li>
Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.</li><li>
Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.</li></ul><ul><li>
Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences.</li><li>
Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use.</li><li>
Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments).</li><li>
Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results.</li><li>
Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face.</li><li>
Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).</li></ul><p></p><p><b>
Important information for candidates</b><br>
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:</p><ul><li><b>
Apply only through our official channels.</b> We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li><b>
Verify the recruiter&rsquo;s identity.</b> All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li><b>
Be cautious of unusual communication methods.</b> We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li><b>
Double-check email addresses.</b> All communication from us will come from emails ending in <b>@</b>tether.to<b> or @</b>tether.io</li><li><b>
We will never request payment or financial details.</b> If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul><p><b>
When in doubt, feel free to reach out through our official website.</b></p></div>

AI Research Engineer (Agentic Post-training) - 100% Remote Worldwide

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree in Engineering, Computer Science, a related field, or equivalent practical experience.</li>
<li>3 years of experience in building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript, or similar languages.</li>
<li>Experience managing technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.</li>
<li>Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).</li>
<li>Experience building pipelines for structured and unstructured data, incorporating vector databases and retrieval-augmented generation (RAG) architectures.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in AI, Computer Science, or a related technical field.</li>
<li>Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google&rsquo;s ADK) and patterns like ReAct, self-reflection, and hierarchical delegation.</li>
<li>Knowledge of LLM-native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
As a GenAI Forward Deployed Engineer at Google Cloud, you will be an embedded builder bridging the gap between frontier artificial intelligence (AI) products and production-grade reality for our customers. You will function as a builder-consultant, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer&rsquo;s environment.<br>
<br>
In this role, you will manage blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white-glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud&rsquo;s future product roadmap.It's an exciting time to join Google Cloud&rsquo;s Go-To-Market team, leading the AI revolution for businesses worldwide. You&rsquo;ll excel by leveraging Google's brand credibility&mdash;a legacy built on inventing foundational technologies and proven at scale. We&rsquo;ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We&rsquo;re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era&mdash;the market is yours.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Serve as the lead developer for AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.</li>
<li>Architect and code the connective tissue between Google&rsquo;s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters.</li>
<li>Build evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.</li>
<li>Identify repeatable field patterns and technical friction points in Google&rsquo;s AI stack, converting them into reusable modules or product feature requests for the engineering teams.</li>
<li>Drive engineering excellence by mentoring talent, co-building with customer teams, and influencing cross-functional strategies to uplevel organizational technical capabilities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Forward Deployed Engineer I, GenAI, Google Cloud

University of Dubai

<div></div><div><div><div>May 12, 2026</div></div></div><div></div>
<br><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p><b>Project:</b> Agentic AI Maximo Platform Project</p>
<p><b>About the Project</b></p>
<p>The <i>Agentic AI Maximo Platform Project</i> is a groundbreaking initiative led by the College of Engineering and IT at the University of Dubai, in collaboration with the Islamic Affairs and Charitable Activities Department (IACAD).
<br>
The project enhances the <b>IBM Maximo Application Suite</b> by integrating an <b>Agentic AI layer</b>, transforming Maximo modules into intelligent, explainable agents that autonomously collaborate to deliver predictive maintenance, fraud detection, budget forecasting, and optimized resource allocation across more than 1,000 IACAD-managed facilities in Dubai.</p><p><br>
</p><p><b>Role Overview</b></p>
<p>The <b>Software Engineer</b> will play a critical role in designing, implementing, and deploying the <i>Agentic AI Maximo Platform</i>.
<br>
The position involves the full software development lifecycle&mdash;from microservice design and integration to DevOps automation and system performance optimization.
<br>
This role is ideal for candidates experienced in <b>enterprise AI integration, backend engineering, automation workflows, and large-scale data systems</b>.
<br>
The Software Engineer will collaborate with researchers, AI developers, and project stakeholders to ensure the seamless and secure deployment of intelligent Maximo agents across IACAD&rsquo;s operational systems.</p><p><br>
</p><p><b>Key Responsibilities</b></p>
<ul><li><b>Agent Development &amp; Integration:</b>
<br>
Design, implement, and integrate microservices for the Predict, Fraud, Budget, Scheduling, and Integration agents; connect via REST APIs, Maximo Integration Framework (MIF), and event-driven systems (Kafka/MQTT).</li>
<li><b>Architecture &amp; Deployment:</b>
<br>
Design and manage cloud/on-premise backends, CI/CD pipelines, and containerized services to ensure high availability, reliability, and scalability of agent operations.</li>
<li><b>Automation &amp; Workflows:</b>
<br>
Implement end-to-end automation in Maximo (e.g., auto-work order creation, 3-way invoice matching, dynamic scheduling, and cost re-forecasting) using workflow engines and intelligent triggers.</li>
<li><b>Web/Mobile Integration:</b>
<br>
Develop interactive dashboards and mobile interfaces that visualize agent outputs (e.g., asset health indices, SLA risk scores, anomaly detection results) with human-in-the-loop feedback controls.</li>
<li><b>Security &amp; Compliance:</b>
<br>
Enforce enterprise security standards, including Role-Based Access Control (RBAC), Segregation of Duties (SoD), encrypted communications, audit logging, and data privacy policies.</li>
<li><b>Performance &amp; Reliability:</b>
<br>
Optimize service performance and latency for predictive and scheduling agents, apply observability tools (logging, metrics, tracing), and implement blue-green deployment strategies and uptime monitoring.</li></ul><br>
<p></p><p><b>Required Qualifications</b></p>
<p><b>Educational Background:</b></p>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field.</li>
</ul><p><b>Technical Skills:</b></p>
<ul><li>Proven experience in backend software development using Python, Java, or Node.js.</li>
<li>Strong understanding of RESTful APIs, microservices architecture, and message-driven systems (Kafka, MQTT, or RabbitMQ).</li>
<li>Hands-on experience with CI/CD pipelines, Docker, and Kubernetes.</li>
<li>Familiarity with Maximo, enterprise asset management systems, or ERP integrations.</li>
<li>Knowledge of AI/ML deployment (MLflow, TensorFlow Serving, or FastAPI-based AI APIs).</li>
<li>Experience with databases (SQL and NoSQL) and data integration workflows.</li>
<li>Knowledge of cloud platforms (AWS, Azure, or IBM Cloud) and container orchestration.</li>
</ul><p><b>Soft Skills:</b></p>
<ul><li>Strong analytical and troubleshooting abilities.</li>
<li>Excellent communication and documentation skills.</li>
<li>Ability to manage time effectively and deliver under research deadlines.</li>
<li>Collaborative mindset with experience working in interdisciplinary teams.</li></ul><br>
<p></p><p><b>Preferred Qualifications</b></p>
<ul><li>Previous experience with IBM Maximo or other enterprise maintenance platforms.</li>
<li>Background in AI systems integration, multi-agent systems, or intelligent automation.</li>
<li>Familiarity with infrastructure-as-code (Terraform, Ansible) and monitoring tools (Prometheus, Grafana).</li>
<li>Experience contributing to applied AI or enterprise automation projects.</li></ul><br>
<p></p><p><b>Why Join Us?</b></p>
<ul><li>Contribute to one of Dubai&rsquo;s most innovative AI transformation projects with direct societal and economic impact.</li>
<li>Work with cutting-edge AI, automation, and Maximo technologies in collaboration with IACAD and IBM.</li>
<li>Gain experience in full-stack AI systems engineering, integration, and deployment.</li>
<li>Access advanced computational resources and cloud infrastructure.</li>
<li>Opportunity to co-author technical reports and publications with leading academic and industry experts.</li></ul><br>
<p></p><p><b>Application Details</b></p>
<p>Applications are open until the position is filled.
<br>
Interested candidates should submit the following to the <b>College of Engineering and IT, University of Dubai</b>:</p>
<ul><li>A detailed CV outlining relevant technical experience.</li>
<li>A cover letter explaining motivation and fit for the role.</li>
<li>Copies of academic transcripts (Bachelor&rsquo;s and/or Master&rsquo;s degrees).</li>
<li>Contact details of two professional or academic references.</li>
</ul><p><b>Expected Start Date:</b> As soon as possible
<br>
<b>Location:</b> University of Dubai, Academic City, Dubai, UAE</p></div>
<br><div><h2 class="jobSectionHeader"><b>Information</b></h2>
<div><ul><li><div><div>Date Posted</div>
<div>May 12, 2026</div>
</div></li><li><div><div>Location</div>
<div><div>Engineering &amp; Information Technology
</div></div></div></li><li><div><div>Category</div>
<div><div><div>CEIT
</div></div></div></div></li><li><div><div>Expiration date</div>
<div>June 11, 2026</div></div></li></ul></div></div>
<br><div><h2 class="jobSectionHeader"><b>Employer Information</b></h2>
<div><div><div><h3 class="jobSectionHeader"><b>College of Engineering and IT
</b></h3>
</div></div><div><h3 class="jobSectionHeader"><b>Email:</b></h3>
<div>ceit-careers@ud.ac.ae</div></div></div></div>

Software Engineer – IACAD

sandan AI

<div><p><b>Location:</b> Berlin / Remote (DACH time zone)<br>
<b>Employment Type:</b> Full-time, permanent<br>
<b>Start Date:</b> Immediate<br>
<b>Language:</b> Native-level English proficiency (C1-C2 level, German a bonus)</p>
<p>
_____________________</p>
<p><b>
ABOUT US</b></p>
<p>
sandan AI is a Berlin-based AI-native startup serving enterprise customers across the DACH region. We are shaping what marketing looks like in an agentic economy &mdash; and building the platform on which this new generation of marketing workflows runs.</p>
<p>
Our ambition is to build software the way software should be built in 2026: agentic, iterative, and with AI as an integral part of the engineering workflow.</p>
<p><b>
HOW WE WORK</b></p>
<p>
We use code harnesses such as Claude Code and Codex not as gimmicks, but as a core part of our development process. Our engineers work daily with agentic coding workflows &mdash; from architecture sketches and implementation to refactoring and testing.</p>
<p>
People joining us either already work productively with these tools or bring the clear motivation to learn and master them quickly and deeply.</p>
<h2 class="jobSectionHeader"><b>
Tasks</b></h2>
<ul><li>Develop and maintain our full-stack applications within the modern JavaScript/TypeScript ecosystem</li>
<li>Design and implement scalable backend services using Node.js and Nest.js</li>
<li>Build high-performance frontend solutions with React.js and Next.js</li>
<li>Design and optimize relational databases (PostgreSQL, MySQL, MS SQL)</li>
<li>Containerize and orchestrate services using Docker and Kubernetes</li>
<li>Develop and integrate REST APIs</li>
<li>Build and operate data pipelines, feature stores, and ML workflows for our agentic systems</li>
<li>Develop, train, and evaluate machine learning models for marketing use cases (attribution, targeting, forecasting, anomaly detection)</li>
<li>Implement Retrieval-Augmented Generation (RAG) pipelines (embeddings, vector stores, re-ranking)</li>
<li>Set up and maintain LLM evaluation frameworks, prompt optimization workflows, and systematic quality benchmarks</li>
<li>Apply code harnesses (especially Claude Code and Codex) throughout the daily development process &mdash; from planning and implementation to code review</li>
<li>Collaborate closely with the founding team on the product architecture of agentic systems</li>
</ul><h2 class="jobSectionHeader"><b>Requirements</b></h2>
<p><b>
Core Technical Competencies (Engineering)</b></p>
<ul>
<li>Several years of professional experience in full-stack development</li>
<li>Strong knowledge of TypeScript and JavaScript</li>
<li>Confident working with React.js, Next.js, Node.js, and Nest.js</li>
<li>Experience with relational databases (PostgreSQL, MySQL, MS SQL)</li>
<li>Hands-on experience with container technologies (Docker, Kubernetes)</li>
<li>Familiarity with REST API design and Git workflows</li>
</ul>
<p><b>Data Science &amp; Machine Learning</b></p>
<ul>
<li>Solid Python skills, including common data/ML stacks (pandas, NumPy, scikit-learn, PyTorch, or TensorFlow)</li>
<li>Experience across the end-to-end lifecycle of ML models: data preparation, feature engineering, training, validation, deployment, and monitoring</li>
<li>Strong understanding of statistical fundamentals (hypothesis testing, regression, classification, time series)</li>
<li>Experience with modern LLM workflows: prompt engineering, RAG, embeddings, vector databases (e.g. Pinecone, Weaviate, pgvector)</li>
<li>Hands-on experience in model evaluation: metrics, benchmarks, A/B testing, and systematic evaluation frameworks</li>
<li>Experience with notebook-based exploration environments (Jupyter, Colab) and transitioning them into production-ready pipelines</li>
<li>Familiarity with MLOps tools (e.g. MLflow, Weights &amp; Biases, DVC) is a plus</li>
</ul>
<p><b>Code Harnesses</b></p>
<ul>
<li>Experience with Claude Code and/or Codex is highly appreciated &mdash; otherwise, a strong willingness to actively learn and adopt these tools</li>
</ul>
<p><b>Personal Qualifications</b></p>
<ul>
<li>Excellent German (C2) and English skills (minimum C1)</li>
<li>Genuine interest in generative AI and agentic systems</li>
<li>Builder mentality: you deliver production-grade software, not just prototypes</li>
<li>Analytical mindset: you make data-driven decisions and critically evaluate model behavior</li>
</ul>
<p><b>Nice to have</b></p>
<ul>
<li>A defining role in an AI-native startup with a strong enterprise focus</li>
<li>Competitive salary and employee stock ownership plan (ESOP)</li>
<li>Fully funded access to all relevant code harnesses, LLM APIs, and developer tools (Claude Max, Codex, GitHub Copilot, etc.)</li>
<li>Compute budget for experiments, model training, and ML workloads</li>
<li>Modern hardware setup (MacBook Pro of your choice)</li>
<li>Flexible working hours and remote work options</li>
<li>Office in Berlin and location in Dubai (DIFC AI Campus)</li>
<li>A steep learning curve in Agentic AI, LLM orchestration, and AI-native engineering</li>
</ul><h2 class="jobSectionHeader"><b>Benefits</b></h2>
<ul><li>A defining role in an AI-native startup with a strong enterprise focus</li>
<li>Competitive salary and employee stock ownership plan (ESOP)</li>
<li>Fully funded access to all relevant code harnesses, LLM APIs, and developer tools (Claude Max, Codex, GitHub Copilot, etc.)</li>
<li>Compute budget for experiments, model training, and ML workloads</li>
<li>Modern hardware setup (MacBook Pro of your choice)</li>
<li>Flexible working hours and remote work options</li>
<li>Office in Berlin and location in Dubai (DIFC AI Campus)</li>
<li>A steep learning curve in Agentic AI, LLM orchestration, and AI-native engineering</li>
</ul>
<p>We look forward to receiving your application, including your CV and &mdash; if available &mdash; a GitHub or portfolio link.</p>
<p>
Please also let us know your earliest possible start date.</p>
<p><b>
Bonus:</b> Tell us in two or three sentences about the most recent ML project you worked on &mdash; and how you currently use Claude Code, Codex, or comparable tools in your workflow.</p></div>

Senior Full-Stack Developer / AI Engineer / Data Scientist (m/w/d)

<div></div><div><div><div>May 12, 2026</div></div></div><div></div>
<br><div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<p><b>Project:</b> Agentic AI Maximo Platform Project</p>
<p><b>About the Project</b></p>
<p>The <i>Agentic AI Maximo Platform Project</i> is a pioneering initiative led by the College of Engineering and IT at the University of Dubai, in collaboration with the Islamic Affairs and Charitable Activities Department (IACAD).
<br>
The project enhances the <b>IBM Maximo Application Suite</b> by integrating an <b>Agentic AI layer</b>, transforming Maximo modules into autonomous, explainable agents that collaborate for predictive maintenance, fraud detection, budget forecasting, and intelligent resource allocation across more than 1,000 facilities in Dubai.</p><p><br>
</p><p><b>Role Overview</b></p>
<p>The <b>Research Assistant (RA)</b> will play a vital role in developing and validating AI-driven agentic modules within the IBM Maximo ecosystem.
<br>
This position is ideal for candidates passionate about <b>AI systems design</b>, <b>machine learning for operations automation</b>, and <b>multi-agent systems</b>.
<br>
The RA will work under faculty supervision, collaborating with data scientists, software engineers, and industry partners to deliver research-grade innovations and deployable AI solutions.</p><p><br>
</p><p><b>Key Responsibilities</b></p>
<ul><li><b>Agentic Intelligence Development:</b> Design and evaluate learning algorithms for Maximo agents (Predict, Fraud &amp; Controls, Budget Intelligence, Scheduling), integrating reinforcement learning and human-in-the-loop feedback loops.</li>
<li><b>AI Model Design and Optimization:</b> Develop predictive models for failure detection, asset health scoring, and budget forecasting using methods such as Gradient Boosting, LSTM, Prophet, and XGBoost.</li>
<li><b>Data Integration and Feature Engineering:</b> Prepare and integrate IoT, telemetry, and financial data streams through Maximo&rsquo;s Integration Framework (MIF) and Collaboration Bus.</li>
<li><b>Explainable AI and Governance:</b> Implement interpretable AI models, monitor bias and drift, and support explainability dashboards for decision transparency.</li>
<li><b>Continuous Learning Pipelines:</b> Establish retraining loops triggered by performance KPIs (MAPE, precision, SLA compliance) and operational feedback from Maximo interfaces.</li>
<li><b>Research Output and Dissemination:</b> Contribute to publications, technical deliverables, and reports on AI automation, multi-agent architectures, and generative AI workflows.</li></ul><br>
<p></p><p><b>Required Qualifications</b></p>
<p><b>Educational Background:</b></p>
<ul><li>Master&rsquo;s degree (PhD is a plus) in Artificial Intelligence, Computer Science, Data Science, Electrical/Computer Engineering, or a related field.</li>
</ul><p><b>Technical Skills:</b></p>
<ul><li>Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience in AI model deployment and automation pipelines.</li>
<li>Familiarity with IBM Maximo or similar enterprise asset management systems is a plus.</li>
<li>Knowledge of reinforcement learning, time-series forecasting, and anomaly detection.</li>
<li>Experience working with IoT data, databases, and cloud platforms (AWS, Azure, or IBM Cloud).</li>
</ul><p><b>Soft Skills:</b></p>
<ul><li>Strong analytical and problem-solving abilities.</li>
<li>Excellent technical writing and communication skills.</li>
<li>Ability to collaborate effectively with interdisciplinary teams.</li>
<li>Motivation for applied AI research and publication in reputable journals.</li></ul><br>
<p></p><p><b>Preferred Qualifications</b></p>
<ul><li>Hands-on experience with multi-agent systems, AI workflow orchestration, or intelligent automation frameworks.</li>
<li>Prior experience with IBM Maximo, Digital Twins, or AI for facility management.</li>
<li>Published research in machine learning, agentic AI, or predictive maintenance.</li></ul><br>
<p></p><p><b>Why Join Us?</b></p>
<ul><li>Work on a cutting-edge national AI project transforming Dubai&rsquo;s facility management ecosystem.</li>
<li>Gain hands-on experience with IBM Maximo and enterprise AI systems.</li>
<li>Collaborate with leading researchers and industrial partners (IACAD, IBM, and UD).</li>
<li>Access advanced computing infrastructure and AI research tools.</li>
<li>Opportunity to publish in top-tier conferences and journals.</li></ul><br>
<p></p><p><b>Application Details</b></p>
<p>Applications will remain open until the position is filled.
<br>
Interested candidates should submit the following to the <b>College of Engineering and IT, University of Dubai</b>:</p>
<ul><li>A detailed CV highlighting relevant research experience.</li>
<li>A cover letter explaining motivation and fit for the position.</li>
<li>Academic transcripts (Master&rsquo;s and/or PhD).</li>
<li>Contact information of two references.</li>
</ul><p><b>Expected Start Date:</b> As soon as possible
<br>
<b>Location:</b> University of Dubai, Academic City, Dubai, UAE</p></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Information</b></h2>
<div><ul><li><div><div>Date Posted</div>
<div>May 12, 2026</div>
</div></li><li><div><div>Location</div>
<div><div>Engineering &amp; Information Technology
</div></div></div></li><li><div><div>Category</div>
<div><div><div>CEIT
</div></div></div></div></li><li><div><div>Expiration date</div>
<div>June 11, 2026</div></div></li></ul></div></div>
<br><div><h2 class="jobSectionHeader"><b>Employer Information</b></h2>
<div><div><div><h3 class="jobSectionHeader"><b>College of Engineering and IT
</b></h3>
</div></div><div><h3 class="jobSectionHeader"><b>Email:</b></h3>
<div>ceit-careers@ud.ac.ae</div></div></div></div>

Research Assistant – IACAD

DICETEK LLC

<div><p><b>Required Skills &amp; Experience
</b></p><p><b>Functional Expertise
</b></p><ul><li>Microsoft 365 &amp; Power Platform (Forms, Lists, Power Automate, Copilot Studio)
</li><li>SAP ERP (functional knowledge), POS systems, CRM (Salesforce), E-commerce
</li><li>BI tools (Power BI, Tableau)
</li><li>Practical understanding of generative and agentic AI
</li></ul><p><b>Consulting &amp; Data Awareness
</b></p><ul><li>Translate business needs into automation, AI, and data-driven solutions
</li><li>Familiarity with ETL concepts, APIs, and Azure Data Warehouse / Synapse
</li><li>Understanding of data quality, dependencies, and reporting readiness
</li></ul><p><b>Core Skills
</b></p><ul><li>Strong analytical, documentation, and stakeholder management skills
</li><li>Knowledge of project delivery and solution lifecycle
</li><li>Preferred certifications: PL-900, PL-100, PL-200, Copilot Studio (Applied Skills), <b>CBAP</b>
</li><li>5&ndash;10 years BA / functional consulting experience, preferably in Luxury retail</li></ul></div>

Business Analyst

DataCamp

<div><p><b>About DataCamp</b></p>
<p>
DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over<b> 17 million learners</b> and<b> 6,000+ companies</b>, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.</p>
<p><b>
About the role</b></p>
<p>
Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction&mdash;a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.</p>
<p>
We're building an AI Creator that turns learning into action&mdash;empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. <b>If you're excited about building the future of human learning, this role is for you.</b></p>
<p><b>
About you</b></p>
<p>
At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets&mdash;you aim to understand the &quot;why&quot; behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!</p>
<p><b>
Responsibilities</b></p>
<ul>
<li><b>Build and evolve the core AI tutoring system</b>, including prompt architectures, agentic workflows, and real-time adaptive behaviors.</li>
<li><b>Run rigorous experimentation and evaluation</b>, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.</li>
<li><b>Design and implement scalable, maintainable software</b>, integrating AI capabilities with platform systems, content pipelines, and user experience components.</li>
<li><b>Collaborate cross-functionally</b> with educators, content creators, and product teams to translate pedagogical goals into technical solutions.</li>
<li><b>Prototype and productionize novel model interactions</b>, leveraging emerging research and capabilities to advance the tutor's intelligence.</li>
<li><b>Ensure quality, safety, and observability</b> through monitoring, testing, guardrails, and iterative refinement of model behavior.</li>
<li><b>Share knowledge and elevate teammates</b>, contributing to a culture of clarity, simplicity, and continuous learning.</li>
</ul>
<p><b>Qualifications</b></p>
<h3 class="jobSectionHeader"><b>
Technical</b></h3>
<ul><li>1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.</li>
<li>Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.</li>
<li>Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.</li>
<li>Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.</li>
</ul><h3 class="jobSectionHeader"><b>Product &amp; Pedagogy</b></h3>
<ul><li>Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.</li>
<li>Ability to reason holistically across AI behavior, content structure, platform features, and user experience.</li>
<li>Familiarity with learning science or a desire to develop expertise.</li>
</ul><h3 class="jobSectionHeader"><b>Character &amp; Collaboration</b></h3>
<ul><li>Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.</li>
<li>Preference for elegance and simplicity in system design.</li>
<li>Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.</li>
</ul>
<p><b>Why Datacamp?</b></p>
<p>
Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:</p>
<ul>
<li>Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.</li>
<li>Competitive compensation: We offer a competitive salary with attractive benefits.</li>
<li>Flexibility: Benefit from flexible working hours because the future is flexible!</li>
<li>Continuous learning: Access a yearly learning budget for conferences &amp; training to support your professional growth.</li>
<li>Global retreats: Participate in international company retreats, fostering a global team spirit.</li>
<li>Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.</li>
<li>Amazing team: Collaborate with a truly exceptional team&mdash;seriously, we're awesome!</li></ul></div><p></p>

Principal AI Engineer - AI Creator

Explore 1245+ Ai research engineer agentic post training 100 remote worldwide in Dubai this June. Find roles across top companies and apply now to boost your career.