senior ai engineer

Dizzaract FZ LLC

<p>01. ABOUT THE COMPANY</p><p><b>Dizzaract</b> is a product-driven company operating at the intersection of gaming, digital platforms, and AI. We build and scale multiple products &mdash; including Farcana, Gamed, and FAR Labs &mdash; each exploring a different space, but united by a shared approach: moving fast, staying curious, and focusing on things that people actually use. We operate as a collaborative, non-hierarchical team where ideas are valued based on their impact, not theirorigin, and where AI is embedded across everything we build &mdash; from infrastructure to product decisions.</p><p>02. ABOUT THE ROLE</p><p>We&rsquo;re looking for a <b>Senior AI Engineer</b> to design and ship production AI systems powering GAMED.</p><p>This role focuses on applied AI &mdash; not research for the sake of research. You&rsquo;ll work on recommendation systems, AI-driven moderation, retrieval systems, agentic workflows, ranking systems, and player-facing AI features integrated directly into the product ecosystem.<br/>You&rsquo;ll collaborate closely with Backend, Product, and Infrastructure teams to build scalable AI systems used by real users.</p><p>03. WHO YOU ARE</p><ul><li>You think pragmatically about AI products and infrastructure.</li><li>You care about reliability, evaluation, and production quality.</li><li>You&rsquo;re comfortable building systems from experimentation to deployment.</li><li>You understand both model quality and infrastructure cost.</li><li>You enjoy solving applied ML problems in live environments.</li></ul><p>04. RESPONSIBILITIES</p><ul><li>Design and deploy AI-powered product features.</li><li>Build recommendation, ranking, moderation, and agent systems.</li><li>Develop and optimize RAG pipelines.</li><li>Work with modern LLM ecosystems and open-weight models.</li><li>Design evaluation frameworks and testing pipelines.</li><li>Optimize inference, retrieval, and deployment performance.</li><li>Collaborate closely with backend and infrastructure teams.</li></ul><p>05. REQUIREMENTS</p><ul><li>5+ years in engineering.</li><li>3+ years building applied ML/AI systems in production.</li><li>Strong Python expertise.</li><li>Experience with PyTorch or JAX.</li><li>Experience with LLMs, RAG, and agent systems.</li><li>Experience with vector databases and retrieval systems.</li><li>Understanding of model evaluation and deployment strategies.</li><li>Experience balancing quality, latency, and infrastructure cost.</li></ul><p>06. NICE TO HAVE</p><ul><li>RLHF / DPO / PPO experience.</li><li>Multi-agent systems.</li><li>Recommender systems at scale.</li><li>MLOps tooling.</li><li>AI safety / red-teaming experience.</li></ul><p>07. WHAT WE OFFER</p><ul><li>Real ownership and direct impact on a global AI infrastructure product.</li><li>Fast execution, low bureaucracy, and a highly collaborative, idea-driven team.</li><li>Exposure to cutting-edge AI, gaming platforms, and digital asset economies.</li><li>Competitive salary with performance-based incentives.</li><li>24 days annual leave, plus public holidays.</li><li>Health insurance.</li><li>Modern office in Yas Creative Hub.</li><li>Continuous learning through real-world problem solving &mdash; not just theory.</li><li>The opportunity to shape what you're working on and influence product direction.</li><li>A diverse, open-minded team where ideas are genuinely heard.</li></ul><p>Work Location: In person</p>

Senior AI Engineer

Deeplight

<p></p><div><p>DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
</i><br>
<i>We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul><p><i><br>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.</i><br>
<br>
<i>At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</i></p></div>

ai71

<div>
 <strong>
  About AI71:
  <br/>
  <br/>
 </strong>
 AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology&mdash;tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.
 <br/>
 <br/>
 <strong>
  The Role:
  <br/>
  <br/>
 </strong>
 As a Senior Machine Learning Engineer at AI71, you&rsquo;ll be responsible for developing, deploying, and optimizing machine learning models and systems that power our AI solutions. You will collaborate with cross-functional teams to translate business challenges into impactful AI products.
 <br/>
 <br/>
 <strong>
  What You'll Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Model Development: Develop, train, and deploy predictive models that enhance the capabilities of our AI solutions.
  </li>
  <li>
   AI Technologies: Work with state-of-the-art AI techniques, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), and apply them to real-world business contexts.
  </li>
  <li>
   Cross-Functional Collaboration: Partner with business stakeholders to understand objectives and translate them into actionable machine learning tasks.
  </li>
  <li>
   Model Optimization: Continuously monitor, evaluate, and improve models based on real-world performance and evolving business needs.
  </li>
  <li>
   Data Pipeline Maintenance: Implement and manage robust data preprocessing pipelines to ensure high-quality, reliable input data for model development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You'll Bring:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years of experience in AI, Machine Learning, Reinforcement Learning (RL), Data Science, or a related field.
  </li>
  <li>
   Proven experience with Large Language Models (LLMs) and fine-tuning techniques.
  </li>
  <li>
   Master&rsquo;s or Ph.D. in AI, Data Science, Computer Science, Statistics, or a related field.
  </li>
  <li>
   Strong proficiency in programming languages like Python or R. Preference for candidates with a competitive coding background (e.g., ACM/ICPC, NOI/IOI, Top Coder, Kaggle).
  </li>
  <li>
   Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex.
  </li>
  <li>
   Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems.
  </li>
  <li>
   Excellent communication and collaboration skills with the ability to work across interdisciplinary teams.
  </li>
  <li>
   Family Book for UAE Nationals
  </li>
  <li>
   Strong communication, stakeholder management, and decision-making skills, with a passion for building diverse, inclusive engineering teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why AI71:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   <strong>
    Mission-Driven Work:
   </strong>
   Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
  </li>
  <li>
   <strong>
    Unparalleled Opportunity:
   </strong>
   This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
  </li>
  <li>
   <strong>
    Career Growth:
   </strong>
   We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
  </li>
  <li>
   <strong>
    World-Class Environment:
   </strong>
   Enjoy a flexible working environment and the latest tools &amp; technologies needed to do your best work.
  </li>
 </ul>
</div>


Machine Learning Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

Yokogawa

<div>
 <strong>
  Not just a job, but a career
  <br/>
  <br/>
 </strong>
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our 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.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.
 <br/>
 <br/>
 <strong>
  Key Responsibilities &amp; Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Technical Analysis &amp; Solution Support
  </li>
  <li>
   Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.
  </li>
  <li>
   Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.
  </li>
  <li>
   Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.
  </li>
  <li>
   Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.
  </li>
  <li>
   Business Case &amp; Application Support
  </li>
  <li>
   Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.
  </li>
  <li>
   Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.
  </li>
  <li>
   Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.
  </li>
  <li>
   Client Engagement &amp; Relationship Management
  </li>
  <li>
   Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.
  </li>
  <li>
   Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.
  </li>
  <li>
   Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).
  </li>
  <li>
   Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.
  </li>
  <li>
   Project Delivery &amp; Quality Assurance
  </li>
  <li>
   Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.
  </li>
  <li>
   Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
  </li>
  <li>
   Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.
  </li>
  <li>
   Participate actively as a member of technical project teams, building and maintaining effective working relationships.
  </li>
  <li>
   Knowledge Sharing, Training &amp; Enablement
  </li>
  <li>
   Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.
  </li>
  <li>
   Sales Collaboration &amp; Growth
  </li>
  <li>
   Work with sales personnel to help position solutions and support opportunity development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred, with a minimum of 7-10 years of industrial process experience in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).
  </li>
  <li>
   Some hands-on experience with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.
  </li>
  <li>
   Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.
  </li>
  <li>
   Strong problem-solving skills with an emphasis on solution development.
  </li>
  <li>
   Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).
  </li>
  <li>
   Willing and able to travel throughout the YMA region and globally as required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Competencies &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.
  </li>
  <li>
   Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.
  </li>
  <li>
   Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.
  </li>
  <li>
   Strong knowledge of IIoT integration concepts and architectures.
  </li>
  <li>
   Up-to-date awareness of the latest AI and Digital Twin market trends.
  </li>
  <li>
   Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.
  </li>
  <li>
   Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.
  </li>
  <li>
   Strong problem-solving orientation with a focus on practical solution development.
   <br/>
   <br/>
  </li>
 </ul>
 &ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 <br/>
 <br/>
 about our Employee Referral process!
</div>


AI/ML Process Engineer

<div><p><b>Not just a job, but a career</b></p><p>
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.</p><p></p><p>
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.</p><p></p><p><b>
About the Team</b><br>
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. 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.</p><p></p><p><b>
Job Purpose</b></p><p></p><p>
The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.</p><p></p><p><b>
Key Responsibilities &amp; Accountabilities</b></p><p></p><p><b>
1. Technical Analysis &amp; Solution Support</b></p><ul><li>
Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.</li><li>
Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.</li><li>
Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.</li></ul><p><b>
2. Business Case &amp; Application Support</b></p><ul><li>
Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.</li><li>
Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.</li><li>
Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.</li></ul><p><b>
3. Client Engagement &amp; Relationship Management</b></p><ul><li>
Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.</li><li>
Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul><p><b>
4. Project Delivery &amp; Quality Assurance</b></p><ul><li>
Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.</li><li>
Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul><p><b>
5. Knowledge Sharing, Training &amp; Enablement</b></p><ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul><p><b>
6. Sales Collaboration &amp; Growth</b></p><ul><li>
Work with sales personnel to help position solutions and support opportunity development.</li></ul><p></p><p><b>
Qualification and Experience:</b></p><ul><li><b>
Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred</b>, with a minimum of <b>7-10 years of industrial process experience</b> in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).</li><li><b>
Some hands-on experience</b> with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.</li><li>
Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.</li><li>
Strong problem-solving skills with an emphasis on <b>solution development</b>.</li><li>
Work location: <b>Yokogawa Global AI CoE Centre, United Arab Emirates (UAE)</b>.</li><li>
Willing and able to <b>travel throughout the YMA region and globally</b> as required.</li></ul><p></p><p><b>
Competencies &amp; Skills
</b></p><ul><li>Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul><p></p><p>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;</p><p></p><p>
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.</p><p></p><p>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</p></div>

Lunate

<div>
 <p>
  <strong>
   Firm Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Duties and Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
  </li>
  <li>
   Leverage AI Tools to design and automate our pipelines.
  </li>
  <li>
   Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
  </li>
  <li>
   Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
  </li>
  <li>
   Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
  </li>
  <li>
   Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
  </li>
  <li>
   Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
  </li>
  <li>
   Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
  </li>
  <li>
   Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
  </li>
  <li>
   Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
  </li>
  <li>
   Contribute to engineering standards, patterns, and documentation as the data function scales.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6+ years of professional data engineering experience delivering production pipelines.
  </li>
  <li>
   Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
  </li>
  <li>
   Hands-on experience with dbt, including testing and environment management.
  </li>
  <li>
   Familiarity with modern ingestion tools such as Fivetran.
  </li>
  <li>
   Strong grounding in data modelling fundamentals (Kimball and relational).
  </li>
  <li>
   Python-native, comfortable writing production-quality pipeline and orchestration code.
  </li>
  <li>
   Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
  </li>
  <li>
   Experience building replayable, idempotent pipelines with backfill support.
  </li>
  <li>
   Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
  </li>
 </ul>
</div>


Senior Data Engineer

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