data intelligence machine learning engineer

senior data engineer

data engineer

data analyst

data intelligence machine learning engineer Jobs in Dubai

data quality engineer (databricks) Jobs in Dubai

data quality engineer (databricks)

data science lead

Cognitive

<div>
 
 We are seeking an experienced
 
 AI Technical Lead / AI Solution Architect
 
 to design and deliver production-grade AI/ML solutions within a government or highly regulated environment.
 
 
 
 
 
 The role combines
 
 hands-on AI engineering, solution architecture, Generative AI expertise and technical leadership
 
 . The successful candidate will define technical solutions, guide implementation, review architecture and code, and technically lead AI delivery teams.
 
 
 
 
 
 Key Requirements
 
 
 
 
 <ul>
 <li>
 Proven hands-on experience
 
 designing and delivering AI/ML solutions into production
 
 .
 </li>
 <li>
 Strong practical knowledge of
 
 Machine Learning, Generative AI/LLMs and Agentic AI
 
 .
 </li>
 <li>
 Strong
 
 Python
 
 development skills, with the ability to prototype, review and guide production AI/ML implementations.
 </li>
 <li>
 Practical experience with
 
 RAG, embeddings, vector search, prompt engineering, tool/function calling, agent orchestration and LLM evaluation
 
 .
 </li>
 <li>
 Strong
 
 AI solution architecture and integration
 
 capabilities, including scalability, security, reliability, performance and cost considerations.
 </li>
 <li>
 Experience designing AI solutions across
 
 public cloud, hybrid, private or sovereign cloud environments
 
 .
 </li>
 <li>
 Strong
 
 Microsoft Azure
 
 experience, ideally including
 
 Azure OpenAI, Azure AI Foundry, Azure AI Search and Azure Machine Learning
 
 .
 </li>
 <li>
 Understanding of
 
 MLOps/LLMOps
 
 , including deployment, evaluation, monitoring, versioning and production lifecycle management.
 </li>
 <li>
 Strong understanding of
 
 AI security, governance, responsible AI, data privacy and data sovereignty
 
 .
 </li>
 <li>
 Experience with modern software engineering practices including
 
 APIs, microservices, containers, Kubernetes and CI/CD
 
 .
 </li>
 <li>
 Proven experience technically leading and mentoring
 
 AI Developers, ML Engineers and Data Scientists
 
 .
 </li>
 </ul>
 
 
 
 
 Technical Stack
 
 
 
 
 
 Experience with relevant technologies across:
 
 
 
 
 <ul>
 <li>
 
 GenAI/LLM:
 
 Azure OpenAI, Azure AI Foundry, OpenAI-compatible APIs, Hugging Face or equivalent.
 </li>
 <li>
 
 RAG &amp; Search:
 
 Azure AI Search, vector databases, embeddings and semantic search.
 </li>
 <li>
 
 Agentic AI:
 
 LangChain, LangGraph, Semantic Kernel, LlamaIndex or equivalent agent frameworks.
 </li>
 <li>
 
 ML/MLOps:
 
 Azure Machine Learning, MLflow or equivalent.
 </li>
 <li>
 
 Cloud &amp; Engineering:
 
 Microsoft Azure, REST APIs, microservices, Docker, Kubernetes, Git and CI/CD.
 </li>
 <li>
 
 Data:
 
 SQL/NoSQL, data pipelines, data lakes/lakehouses; Databricks, Spark or Microsoft Fabric are advantageous.
 </li>
 </ul>
 
 
 
 
 
 Depth of technical capability is more important than experience with every named technology.
 
 
 
 
 
 
 Preferred Experience
 
 
 
 
 <ul>
 <li>
 Government or highly regulated environments.
 </li>
 <li>
 Experience with
 
 data residency, sovereignty, security and regulatory requirements
 
 .
 </li>
 <li>
 AI governance, cybersecurity and responsible AI.
 </li>
 <li>
 Production
 
 MLOps / LLMOps
 
 .
 </li>
 <li>
 
 Computer Vision
 
 .
 </li>
 <li>
 High-volume, scalable or real-time AI solutions.
 </li>
 <li>
 Open-source or self-hosted LLMs.
 </li>
 <li>
 Hybrid, private or sovereign cloud architectures.
 </li>
 </ul>
 
 
 
</div>

AI Technical Lead/AI Solution Architect

Group AMANA

<div>
 
 
 About AMANA
 
 
 
 
 
 
 Group AMANA is in constant forward motion. Over decades of growth, we have adopted intelligent solutions that improve the way we build, making AMANA a regional leader in the industry today. We have gone beyond conventional construction by championing intelligent solutions that improve the way we build.
 
 
 
 
 
 We are the region&rsquo;s trusted design-build company, specializing in industrial construction for over three decades. Our reputation is built on our ability to provide turn-key solutions for fast-track projects, repeatedly.
 
 
 
 
 
 We are a human-centric organization, promoting learning and development opportunities for all employees to thrive in dynamic markets. By investing in our people&rsquo;s continued growth and learning, we challenge and change how we build together &ndash; people and business.
 
 
 
 
 
 
 HC Lead &ndash; Rewards, Analytics and Planning Role Description:
 
 
 
 To support the strategic and operational delivery of Total Rewards, People Analytics and Planning, HC Data Audits, and HC Technology and Service enhancements. This role ensures data-driven decision-making, process automation, and continuous improvement of HC services aligned with organizational goals.
 
 
 
 
 
 
 Role Responsibilities:
 
 
 
 1. Total Rewards Strategy &amp; Execution
 
 <ul>
 <li>
 Draft and support the implementation of compensation and benefits frameworks aligned with market benchmarks and internal equity.
 </li>
 <li>
 Prepare and analyze salary surveys, propose adequate allowances linked to performance or skills, conduct job evaluations and propose appropriate gradings for new jobs in conjunction with talent acquisition, propose other monetary and non-monetary compensation as per market benchmark.
 </li>
 <li>
 Support AI-driven payroll processing and employee self-service platforms for transparency and efficiency
 </li>
 </ul>
 
 2. HC Data Audits &amp; Ownership
 
 <ul>
 <li>
 Lead periodic audits of HC data to ensure accuracy, compliance, and readiness for reporting.
 </li>
 <li>
 Maintain and enhance the HC Data Warehouse and dashboards for real-time insights.
 </li>
 </ul>
 
 3. People Analytics
 
 <ul>
 <li>
 Develop and maintain analytics frameworks and Power BI dashboards to track workforce trends, retention, and productivity.
 </li>
 <li>
 Collaborate with Data Science &amp; Governance teams to validate dashboards and ensure consistency in reporting.
 </li>
 </ul>
 
 
 
 
 4. HC Technology Enhancement &amp; Process Automation
 
 <ul>
 <li>
 Drive digitization of HC processes including payroll, attendance, and reporting systems.
 </li>
 <li>
 Support the implementation of AI tools for data validation, chatbot support, and predictive analytics.
 </li>
 </ul>
 
 
 
 
 5. HC Budgeting &amp; Planning
 
 <ul>
 <li>
 Lead HC budgeting cycles in collaboration with Finance, Talent Acquisition and L&amp;D
 </li>
 <li>
 Align budget allocations with strategic initiatives such as localization, upskilling, and technology upgrades.
 </li>
 </ul>
 
 6. HC Service Enhancement
 
 <ul>
 <li>
 Evaluate and improve HC service delivery through feedback loops, grievance resolution, and policy updates.
 </li>
 </ul>
 
 
 
 
 7. Policy Development &amp; Governance
 
 <ul>
 <li>
 Define and update related HC policies and procedures in alignment with labor laws and organizational standards.
 </li>
 <li>
 Ensure consistent application of policies across all HC functions and geographies.
 </li>
 </ul>
 
 
 Key Interfaces:
 
 
 
 CHRO, HC Business Partners, Finance, Data Governance, Payroll, Talent Acquisition, L&amp;D, Project Teams, Lead Executives, Department Heads
 
 
 
 
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Minimum 8 years in Human Capital roles with a focus on rewards, analytics, and systems.
 </li>
 <li>
 Strong background in payroll, data analytics, and HC systems (e.g., Oracle, BI dashboards).
 </li>
 <li>
 Experience in high-complexity, project-driven environments preferred.
 </li>
 </ul>
 
 
 Education:
 
 
 <ul>
 <li>
 Bachelors Degree
 </li>
 <li>
 Certifications related to AI, Analytics, BI, Six Sigma, Job Evaluation methodologies are preferred
 </li>
 </ul>
 
 
 
 
 
 Competencies:
 
 
 <ul>
 <li>
 Data Analytics
 </li>
 <li>
 Project Integration Management
 </li>
 <li>
 Communication
 </li>
 <li>
 Agility
 </li>
 <li>
 Teamwork
 </li>
 <li>
 Accountability
 </li>
 <li>
 Reliability
 </li>
 <li>
 Resources Management
 </li>
 </ul>
 
 
 
</div>

Rewards Consultant

Sprinklr

<div>Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale &mdash; across every customer touchpoint.
By combining human instinct with the speed and efficiency of AI, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr&rsquo;s unified platform provides powerful solutions for every customer-facing team &mdash; spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management &mdash; enabling enterprises to unify data, break down silos, and act on real-time insights.
Today, 1,900+ enterprises and 60% of the Fortune 100 rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.<h2 class="jobSectionHeader">
Job Description</h2>
Overview
Sprinklr is looking for a Lead Solutions Consultant to partner with Sales and drive revenue growth through advanced solution design and strategic customer engagement.
What You&rsquo;ll Do<ul><li>
Design and present customized solutions using Sprinklr&rsquo;s AI-powered Unified-CXM platform.</li><li>
Collaborate with Sales and consulting teams to integrate AI and data science capabilities into customer environments.</li><li>
Showcase advanced automation solutions, including agentic AI and AI-powered workflows.</li><li>
Architect scalable, high-performance, and cost-efficient enterprise solutions.</li><li>
Provide strategic guidance on data architecture, API integrations, and multi- and hybrid-cloud environments.</li><li>
Lead key pre-sales activities such as executive presentations, technical workshops, RFP responses, and proof-of-concept engagements.</li><li>
Partner with the broader Sprinklr ecosystem to validate requirements and deliver &ldquo;art-of-the-possible&rdquo; demonstrations.</li><li>
Apply design thinking and human-centered design principles to enterprise experience solutions.</li><li>
Travel up to 40% and remain local to key customer regions.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Mathematics, or Engineering; Master&rsquo;s degree preferred.</li><li>
8+ years of experience in enterprise architecture, data architecture, and Contact Center/UC environments.</li><li>
5+ years designing solutions within CCaaS platforms.</li><li>
Experience implementing AI-driven solutions for martech and social platforms.</li><li>
Expertise in cloud contact center ecosystems (e.g., Genesys, Amazon Connect, NICE, Five9).</li><li>
Strong communicator with the ability to translate technical concepts into business value.</li><li>
Demonstrated thought leadership through publishing, speaking, or industry engagement.</li><li>
Proven ability to lead deep architectural discovery engagements.</li></ul>
We focus on our mission: Sprinklr was founded in 2009 to solve a big problem: growing enterprise complexity that separated brands from their customers. Our vision was clear: to unify fragmented teams, tools and data &mdash; helping large organizations build deeper, more meaningful connections with the people they serve. Today, Sprinklr has a unified, AI-native platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights. Sprinklr is here to do three things:<ul><li>
Lead a new category of enterprise software that we call Unified-CXM.</li></ul><ul><li>
Empower companies to deliver next generation, unified engagement journeys that reimagine the customer experience.</li><li>
Create a culture of customer obsession, with trust, teamwork, and accountability.</li></ul>
We believe in our product: Customers who value exceptional customer experiences have what they need on our single unified platform, built with an operating system approach on a single codebase. That means that everything &mdash; and everyone &mdash; can work together to service, respond, sell, and market to customers on the channels they prefer. While Unified Customer Experience Management (Unified-CXM) as a category is just getting started, we are well on our way to creating a no-compromise, unified approach to better customer experiences for the world&rsquo;s leading enterprise brands. 
We invest in our people: We offer a comprehensive suite of benefits designed to help each member of our team thrive. Sprinklr believes that you should be able to get the type of care you need for your personal well-being when you need it. We offer you and your family voluntary healthcare coverage in countries where applicable. We believe it is important to take time off &ndash; it is essential for your mental and physical wellbeing. We provide Sprinklrites with paid time off to recharge and spend time with loved ones. We want to grow our talent with purpose. Our open Mentoring Program is designed to create meaningful connections that support growth and amplify our focus.
To learn more about employee benefits by region, click here.
To learn more about all-things-Sprinklr, visit our candidate resource hub here.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a collaborative environment. We fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we&rsquo;re more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and complies with all applicable federal, state, and local fair employment practices laws. We are committed to equal employment opportunity regardless of race, color, religion, creed, national origin or ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, genetic information, or any other characteristic protected under applicable law. 
Reasonable accommodations are available upon request during the interview process. To request an accommodation, please work directly with your recruitment coordinator or recruiter.
Warning about Recruiting Scams: Please be vigilant for recruiting scams impersonating Sprinklr. Sprinklr will never ask you for money, to pay for equipment, or for unnecessary personal information during the interview process. Sprinklr will also never pay in Bitcoin or send email communications from our executives. Please review the Federal Trade Commission's advice to avoid these types of scams.
If you are contacted by someone whom you suspect may not be appropriately representing Sprinklr, please do not engage and block their email or phone number immediately.</div>

Lead Solutions Consultant

Capgemini

<div><div><div><div>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
<div><div><div><h2 class="jobSectionHeader">Your Role</h2>
</div><div><ul><li>Lead architecture and technical design for enterprise Azure AI solutions across GenAI, agentic AI, RAG, AI Search, integration, security, observability and AI Factory platform patterns.</li>
<li>Design Azure AI architectures for GenAI, agentic AI, RAG, enterprise copilots and AI Factory platforms.</li>
<li>Define patterns across Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure ML, Fabric, Databricks and integration services.</li>
<li>Lead technical discovery with IT, data, security and enterprise architecture stakeholders.</li>
<li>Create reference architectures, proposal solution blueprints, technical assumptions and PoC plans.</li>
<li>Guide MVPs covering environment setup, secure connectivity, data ingestion, retrieval, agents, evaluation and monitoring.</li>
<li>Embed guardrails, content safety, logging, identity, access control and human oversight into designs.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Experience and Skills Required</h2>
</div><div><ul><li>8-12+ years in solution architecture, cloud architecture, data/AI architecture or platform engineering.</li>
<li>4-5+ years designing Azure solutions, ideally with production AI or client-facing implementations.</li>
<li>Hands-on GenAI, RAG, LLM app, agentic AI, MLOps/LLMOps or AI platform engineering exposure.</li>
<li>Secure enterprise integration experience: identity, APIs, private networking, monitoring and cloud governance.Strong experience in Python is a plus but it&rsquo;s knowledge is mandatory.</li>
<li>Azure AI Foundry and Azure OpenAI.</li>
<li>Azure AI Search, vector search, embeddings and RAG.</li>
<li>Azure Machine Learning, evaluation and deployment concepts.</li>
<li>Microsoft Fabric, Azure Databricks, ADLS Gen2 and data integration.</li>
<li>Azure Functions, Logic Apps, Event Grid, Service Bus and API Management.</li>
<li>Entra ID, managed identities, Key Vault, private endpoints, VNet integration, RBAC and logging.</li>
<li>Agentic AI, tool calling, orchestration, memory, observability and evaluation.</li>
<li>Preferred certifications: Azure Solutions Architect Expert and Azure AI Engineer Associate.</li>
<li>Experience in AI and Cloud FinOps</li> 
</ul></div></div></div>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Senior Azure AI Architect

<div>Company Description 
IFS is a billion-dollar revenue company with 6000+ employees on all continents. We deliver award winning enterprise software solutions through the use of embedded digital innovation and a single cloud-based platform to help businesses be their best when it really matters&ndash;at the Moment of Service&trade;.
At IFS, we're flexible, we're innovative, and we're focused not only on how we can engage with our customers, but on how we can make a real change and have a worldwide impact. We help solve some of society's greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and accept that there are so many different perspectives in this world. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We're looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs.
If you want to change the status quo, we'll help you make your moment. Join Team Purple. Join IFS. 
Job Description 
The Senior Manager, Group ARR will be responsible for the governance, reporting, analysis, and continuous improvement of the Group's Software Bookings, Annual Contract Value (ACV), and Annual Recurring Revenue (ARR) metrics.
This highly visible role partners closely with Finance Leadership, Sales Operations, Regional Finance teams, FP&amp;A, Revenue Operations, and Executive Management to ensure the integrity, consistency, and accuracy of key commercial performance metrics across the business.
The successful candidate will combine strong commercial finance expertise with deep software industry knowledge and exceptional analytical and problem-solving capability. They will be expected to challenge assumptions, investigate complex reporting issues, influence stakeholders, and drive improvements in reporting processes, data quality, automation, and business insight.
Key Responsibilities
Ownership of Group Bookings and ARR Reporting<ul><li>
Own the monthly Group Software Bookings, ACV, and ARR reporting process.</li><li>
Ensure accurate and timely reporting of commercial metrics to Executive Leadership, Finance Leadership, and Board stakeholders.</li><li>
Deliver insightful analysis of business performance, trends, risks, and opportunities.</li><li>
Maintain reporting consistency across regions, business units, and product lines.</li><li>
Prepare executive-level reporting packages and management commentary.</li></ul>
Policy Governance and Business Partnering<ul><li>
Act as the subject matter expert for Bookings, ACV, ARR, Downsell, Churn, and related commercial metrics.</li><li>
Own and maintain Group-wide reporting policies and definitions.</li><li>
Provide guidance and interpretation on complex commercial transactions.</li><li>
Review and assess deal structures to determine appropriate Bookings and ARR treatment.</li><li>
Partner with Sales, Revenue Operations, FP&amp;A, Accounting, and M&amp;A teams on commercial reporting matters.</li></ul>
Analysis and Insights<ul><li>
Conduct deep-dive analysis into ARR drivers, retention trends, renewals, churn, install-base performance, expansion rates, and new logo acquisition.</li><li>
Identify business performance trends and translate data into meaningful recommendations.</li><li>
Investigate anomalies and resolve reporting discrepancies.</li><li>
Develop actionable insights to support strategic and operational decision-making.</li></ul>
Data Quality and Controls<ul><li>
Ensure robust governance and controls around Bookings and ARR data.</li><li>
Drive continuous improvement in reporting accuracy and process efficiency.</li><li>
Lead reconciliation activities across multiple data sources and reporting systems.</li><li>
Establish monitoring frameworks to proactively identify data quality issues.</li></ul>
Transformation and Automation<ul><li>
Drive automation and reporting enhancements.</li><li>
Partner with Data &amp; Analytics teams to improve reporting infrastructure and dashboards.</li><li>
Develop scalable reporting solutions using Power BI and other analytical tools.</li><li>
Identify opportunities to leverage AI and advanced analytics to improve efficiency and business insight.</li></ul>
Stakeholder Management<ul><li>
Build strong relationships across Finance, Sales, Operations, and Executive teams.</li><li>
Influence senior stakeholders through clear communication and fact-based analysis.</li><li>
Present findings and recommendations confidently to senior leadership.</li><li>
Lead discussions on complex commercial reporting issues.</li></ul> 

Qualifications 
<ul><li>
Degree-level qualification in Finance, Accounting, Business, Engineering, Computer Science, Data Science or a related discipline.</li><li>
Professional qualification (ACA, ACCA, CIMA, CPA), MBA viewed favourably.</li><li>
Significant experience in Commercial Finance, FP&amp;A, Finance Business Partnering, Revenue Operations, or related analytical finance roles.</li><li>
Significant experience within a software, SaaS, subscription, or technology company.</li><li>
Experience working with recurring revenue models, ARR, ACV, SaaS metrics, subscriptions, renewals, and customer retention analysis.</li><li>
Experience supporting executive-level business reviews and reporting processes.</li><li>
Fluent business English required.</li></ul> 

Additional Information 
<ul><li>
A persistent nature and a willingness to understand and overcome operational challenges/obstacles.</li><li>
Ability to understand processes and challenges and effectively communicate internally.</li><li>
Ability to understand internal processes and navigate effectively.</li><li>
Previous experience in a multinational technology company would be an advantage</li></ul></div>

Senior FP&A Manager - Global ARR

<div>
 
 
 Forward Deployed Engineer
 
 
 
 
 
 
 We are looking for a Forward Deployed Engineer to join our Team and work directly with operating companies across the Group to turn real-world operational challenges into deployed AI solutions.
 
 
 This is a hands-on engineering role for someone who enjoys working closely with business users, understanding how work is performed, building practical AI solutions and taking them all the way from discovery to production and handover.
 
 
 The successful candidate will combine software engineering, AI/LLM development, systems integration and business problem-solving to deliver solutions that create measurable operational value.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work directly with operating companies to identify operational problems and translate them into practical AI and automation solutions.
 </li>
 <li>
 Conduct process discovery, requirements gathering and stakeholder interviews.
 </li>
 <li>
 Design, build, test and deploy AI-powered solutions using internal platforms, models and reusable components.
 </li>
 <li>
 Develop solutions using
 
 Python, LLM APIs, RAG, vector databases, agent frameworks and workflow orchestration
 
 .
 </li>
 <li>
 Integrate AI solutions with existing operational systems, APIs, data sources and business workflows.
 </li>
 <li>
 Rapidly prototype solutions, test them with real users and iterate towards production-ready implementations.
 </li>
 <li>
 Develop evaluation and testing frameworks to measure AI solution quality and performance.
 </li>
 <li>
 Monitor deployed solutions in production and troubleshoot performance, quality and integration issues.
 </li>
 <li>
 Work with Group IT, Information Security, Data &amp; Analytics and business teams to ensure appropriate architecture, security and compliance.
 </li>
 <li>
 Document solutions and prepare technical handover materials.
 </li>
 <li>
 Train business users and operational owners to use, maintain and extend deployed solutions.
 </li>
 <li>
 Track and report measurable benefits from each deployment, including cost savings, productivity improvements and licence displacement.
 </li>
 <li>
 Identify reusable components and patterns that can accelerate future AI deployments across the Group.
 </li>
 <li>
 Support build-versus-buy assessments by demonstrating the technical feasibility and total cost of internally developed solutions.
 </li>
 <li>
 Where required, lead temporary delivery pods or coordinate the work of interns.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in
 
 Artificial Intelligence, Computer Science, Software Engineering, Data Science, Industrial Engineering or a related discipline
 
 .
 </li>
 <li>
 
 1&ndash;3 years of hands-on experience
 
 building and deploying software or AI solutions into production.
 </li>
 <li>
 Proven experience delivering solutions used by real users beyond proof-of-concept or experimental environments.
 </li>
 <li>
 Recent practical experience developing applications using
 
 Large Language Models (LLMs)
 
 is required.
 </li>
 <li>
 Strong experience with
 
 Python
 
 for application development and/or data-related work.
 </li>
 <li>
 Experience working with
 
 LLM APIs, prompt engineering and context design
 
 .
 </li>
 <li>
 Practical knowledge of
 
 Retrieval-Augmented Generation (RAG)
 
 and vector databases.
 </li>
 <li>
 Experience with
 
 AI agent frameworks and workflow orchestration
 
 .
 </li>
 <li>
 Experience with
 
 APIs, system integration, SQL and data pipelines
 
 .
 </li>
 <li>
 Exposure to AI evaluation and testing frameworks.
 </li>
 <li>
 Experience with cloud platforms and deploying/managing applications in cloud environments.
 </li>
 <li>
 Exposure to lightweight front-end development for internal tools is an advantage.
 </li>
 <li>
 Strong process mapping, business analysis and requirements-gathering skills.
 </li>
 <li>
 Ability to communicate technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience working directly with clients, business units or operational teams is strongly preferred.
 </li>
 <li>
 Exposure to
 
 logistics, supply chain or operations-heavy environments
 
 is an advantage.
 </li>
 </ul>
 
 
 
 
 Key Technical Skills
 
 
 
 Python | Generative AI | LLMs | LLM APIs | Prompt Engineering | RAG | Vector Databases | AI Agents | Workflow Orchestration | API Integration | SQL | Data Pipelines | AI Evaluation | Cloud Deployment | Software Development | Process Automation
 
 
 
 What We Are Looking For
 
 
 We are looking for an engineer who is comfortable operating at the intersection of
 
 technology and business
 
 .
 
 
 You should be able to take an ambiguous operational problem, understand it directly from users, design a technical solution, build it, deploy it into production and ensure that the business can successfully use and maintain it.
 
 
 
 Candidates whose experience is limited to academic projects, training or POCs without production deployment experience will not be considered.
 
 
</div>

Forward Deployed Engineer

Forsyth Barnes

<div>
 
 
 Job Title:
 
 Lead AI &amp; Data Engineer &ndash; Dubai Contract (Ref: 197591)
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Contract:
 
 Initial contract engagement
 
 
 
 Start:
 
 September 2026
 
 
 
 Language:
 
 Arabic &amp; English
 
 
 
 
 
 We&rsquo;re supporting a global consumer brand
 
 
 that is continuing to build out its data and AI capability in Dubai.
 
 
 
 
 
 They are looking for a senior, hands-on AI &amp; Data Engineer to work closely with their global media analytics team, with a particular focus on social media data, GenAI and automation. The core challenge is around improving the quality of social media analytics across platforms such as TikTok and Instagram. At the moment, large volumes of social mentions are being picked up through keywords and product terminology, but not all of that data is genuinely relevant to the brand. They need someone who can build the AI and data infrastructure to better understand context, classify that content and clean the data before it reaches downstream analytics.
 
 
 
 
 
 
 What you'll be doing
 
 
 <ul>
 <li>
 Building GenAI and Agentic AI solutions around real-world business and social media data
 </li>
 <li>
 Designing and developing data pipelines for large volumes of social content
 </li>
 <li>
 Building AI-led approaches to classify, filter and clean social media mentions
 </li>
 <li>
 Using NLP and contextual analysis to distinguish genuine brand engagement from irrelevant keyword matches
 </li>
 <li>
 Improving data quality, taxonomy and classification
 </li>
 <li>
 Identifying manual processes that can be automated through AI
 </li>
 <li>
 Taking AI ideas from concept through to working, production-ready solutions
 </li>
 <li>
 Helping shape the underlying AI and data infrastructure
 </li>
 <li>
 Working closely with Data Science, Analytics and senior global stakeholders
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Strong experience across AI Engineering, Data Engineering or Machine Learning
 </li>
 <li>
 Hands-on experience building production AI solutions
 </li>
 <li>
 Strong GenAI / Agentic AI experience
 </li>
 <li>
 Advanced Python and SQL
 </li>
 <li>
 Experience building modern data pipelines and infrastructure
 </li>
 <li>
 Strong understanding of data cleansing, classification and unstructured data
 </li>
 <li>
 Experience with NLP or text-based machine learning
 </li>
 <li>
 Understanding of MLOps and production AI environments
 </li>
 <li>
 Comfortable working autonomously and building solutions from the ground up
 </li>
 <li>
 Strong stakeholder management skills
 </li>
 <li>
 Fluent Arabic and English
 </li>
 <li>
 Based in, or able to work from, Dubai
 </li>
 </ul>
 
 
 
 
 
 Relevant preferred experience
 
 
 <ul>
 <li>
 Social media analytics
 </li>
 <li>
 Social listening
 </li>
 <li>
 TikTok / Instagram data
 </li>
 <li>
 Consumer or ecommerce businesses
 </li>
 <li>
 Large-scale text classification
 </li>
 <li>
 AI automation
 </li>
 <li>
 Building new AI capability within a growing organisation
 </li>
 </ul>
 
 
 
 
 This is a senior individual contributor role rather than a traditional people-management position.
 
 
 The successful person will be expected to be technically hands-on, work with senior stakeholders and take ownership of building solutions rather than simply analysing the output of existing systems.
 
 
 
 
</div>

Lead AI & Data Engineer (Ref: 197591)

Explore 329+ Data science lead in Dubai this September. Find roles across top companies and apply now to boost your career.