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automation engineer

ai platform engineer

Deeplight

<div><p>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.</p><p>
The AI Platform Engineer helps design, build and maintain the on-premises AI Infrastructure for our client, a market leader in the environment sector. The engineer plays a key role in enabling large-scale machine learning and generative AI workloads by developing robust, scalable, and secure platform solutions that support data scientists and ML engineers across the organisation.</p><p>
The role requires deep <b>Kubernetes and infrastructure automation experience</b> to optimise performance, streamline deployments, and ensure reliability in an on-prem environment.</p><p><b>
Requirements</b></p><p></p><ul>
<li>
Design, deploy, and manage on-premises Kubernetes clusters for AI and ML workloads.</li>
<li>Develop and maintain infrastructure-as-code using tools like Terraform, Helm, or Ansible</li>
<li>Build and optimise AI/ML pipelines and MLOps workflows for model training, deployment, and monitoring.</li>
<li>Collaborate with data science and engineering teams to deliver high-performance computing environments for large model training and inference.</li>
<li>Implement resource management, observability, and scaling strategies for GPU-based workloads.</li>
<li>Manage containerisation, networking, and storage solutions for AI workloads.</li>
<li>Ensure security, compliance, and reliability of the AI platform.</li>
<li>Automate operational processes and continuously improve platform efficiency.</li>
</ul><p></p><p><b>
What we need from you:</b></p><p></p><ul>
<li>
Proven experience managing Kubernetes clusters on-premises (not just cloud-managed solutions).</li>
<li>Experience working in a Consultancy capacity.</li>
<li>Strong background in container orchestration, CI/CD, and automation.</li>
<li>Proficiency in Linux administration, Docker, and networking fundamentals.</li>
<li>Hands-on experience with infrastructure-as-code (Terraform, Helm, Ansible, etc.).</li>
<li>Experience supporting AI/ML workloads (e.g., TensorFlow, PyTorch, Hugging Face, Ray, Kubeflow).</li>
<li>Familiarity with GPU scheduling and resource management on Kubernetes.</li>
<li>Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK, etc.).</li>
<li>Strong scripting skills (Python, Bash, or Go).</li>
<li>Understanding of DevOps and MLOps best practices.</li>
</ul><p><b>
Benefits</b></p><p><b>
Benefits &amp; Growth Opportunities:</b></p><ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul><p>
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.</p></div>

AI Platform Engineer

Contango

<div><p><b>About the Data &amp; AI Hub</b><br>
<br>
At Data &amp; AI Hub we&rsquo;re unlocking cross-portfolio value through a centralized data platform and AI-powered solutions that drive efficiency, profitability, and innovation across our operating companies. Aligned with the UAE&rsquo;s bold vision for AI leadership, Data &amp; AI Hub is shaping the future of data-driven governance, building the next generation of AI products with both regional and global impact<br>
<br>
<b>About the Role</b></p>
<p>We are seeking a DevOps / Platform Engineer whose primary goal is to be a force multiplier for our product and engineering teams. This role is not just about maintaining infrastructure; it's about supercharging our development lifecycle by focusing on developer experience, ease of deployment, and overall platform hygiene. You will be the champion for our internal development platform, maturing our existing systems (GitHub Actions, Terraform) and leading the charge in adopting modern tooling (e.g. CircleCI, Pulumi).</p><p><b><br>
Key Responsibilities</b></p><ul>
<li>
Elevate our developer experience by creating and refining frictionless CI/CD pipelines (GitHub Actions, CircleCI) that enable easy, frequent, and safe deployments.</li>
<li>Champion platform hygiene and automation through best-in-class Infrastructure as Code (IaC) practices using Terraform and/or Pulumi</li>
<li>Engineer a scalable and resilient cloud infrastructure on Microsoft Azure, providing a robust foundation for our products with a focus on App Service, Azure Kubernetes Service (AKS), and complex VPC configurations</li>
<li>Ensure platform reliability and enable proactive issue resolution by implementing sophisticated observability solutions with Azure Monitor and Azure Sentinel</li>
<li>Automate operational tasks and workflows using Bash and a programming language like Python or TypeScript</li>
<li>Act as a key partner to engineering teams, deeply understanding their workflows to remove friction and boost productivity</li>
<li>Enforce and improve Git best practices to ensure a clean and efficient version control history</li>
</ul><p>
Requirements</p><ul>
<li>
Strong, hands-on experience with Microsoft Azure, specifically with App Service, AKS, and VPC networking</li>
<li>Proficiency in Infrastructure as Code (IaC) with Pulumi and/or Terraform</li>
<li>Demonstrated experience building and managing CI/CD pipelines (e.g., GitHub Actions, CircleCI)</li>
<li>Expertise in Bash scripting</li>
<li>Proficiency in at least one programming language, such as Python or TypeScript</li>
<li>Experience with observability tools (e.g., Azure Monitor, Azure Sentinel)</li>
<li>A deep understanding of Git workflows and best practices</li>
</ul><p><b>
Nice-to-Haves</b></p><ul>
<li>
Experience with Databricks Asset Bundles.</li>
<li>Knowledge of GitOps principles and tools.</li>
<li>Familiarity with FinOps for cloud cost management.
</li></ul><p><b>Key Technologies</b></p><ul>
<li>
Terraform</li>
<li>Pulumi</li>
<li>CI/CD principles</li>
<li>Azure DevOps</li>
<li>Visual Studio Code</li>
<li>Git/GitHub Enterprise</li>
<li>Kubernetes</li>
<li>PowerShell</li>
<li>Familiar with deployment methods and mechanism</li>
<li>Python scripting (good to have)</li>
</ul><p><b>
Disclaimer:</b></p><p>
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</p></div>

Senior DevOps Engineer

RP International

<div>
 <p>
  The
  <strong>
   Head of Guest
  </strong>
  &amp; G360 IT Delivery is responsible for leading the end-to-end delivery, integration, and governance of the Guest360 (G360) platform, contact centre technologies, and self-service/unattended channels. This role ensures the seamless integration of guest engagement platforms across voice, chat, social, digital, and traditional channels, enabling consistent and data-driven guest experiences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position combines delivery leadership with a strategic outlook, overseeing a broad portfolio that includes agile and waterfall initiatives. The role also plays a key part in shaping high-impact programs and ensuring technology solutions are aligned with guest experience goals. When acting as a Release Train Engineer (RTE), the individual will guide Agile Release Train (ART) processes, events, and delivery cycles.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Strategic Leadership &amp; Transformation
  </strong>
 </p>
 <ul>
  <li>
   Champion a transformational mindset to drive innovation and continuous improvement across guest-related initiatives.
  </li>
  <li>
   Collaborate in strategic discussions to influence how technology enhances guest interactions and outcomes.
  </li>
  <li>
   Lead end-to-end delivery of strategic programs from inception through closure, in collaboration with product and business stakeholders.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Platform &amp; Program Delivery
  </strong>
 </p>
 <ul>
  <li>
   Own and manage the delivery roadmap for the G360 platform and associated engagement technologies.
  </li>
  <li>
   Oversee the integration and governance of contact centre solutions (voice, IVR, omnichannel).
  </li>
  <li>
   Lead the design and delivery of unattended/self-service channels, including AI chatbots, WhatsApp, SMS, portals, and email automation.
  </li>
  <li>
   Ensure platform interoperability with key enterprise systems including PSS, Offer-Order (NDC), Loyalty, CRM, Ecommerce, Operations, Finance, and Data.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Architecture, Data &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Drive an API-first strategy and oversee data modeling and architectural standards for omnichannel engagement.
  </li>
  <li>
   Support the evolution of G360 as the authoritative source of guest data across all systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Governance &amp; Agile Delivery
  </strong>
 </p>
 <ul>
  <li>
   Establish and enforce governance frameworks for agile delivery, including backlog management, sprint planning, prioritization, and release coordination.
  </li>
  <li>
   Act as a Release Train Engineer when required, facilitating Agile Release Train events and ensuring alignment across teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Vendor &amp; Stakeholder Management
  </strong>
 </p>
 <ul>
  <li>
   Manage external vendors and system integrators, ensuring delivery quality, contractual performance, and accountability.
  </li>
  <li>
   Translate business and operational needs into executable IT initiatives with measurable value.
  </li>
  <li>
   Provide senior leadership with regular updates on progress, performance, adoption, and business value.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Team Leadership &amp; Development
  </strong>
 </p>
 <ul>
  <li>
   Build and lead high-performing, cross-functional agile teams across domains such as contact centre systems, AI/chatbot solutions, systems integration, and data engineering.
  </li>
  <li>
   Promote a culture of collaboration, continuous improvement, and innovation in service delivery.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Experience:
   </strong>
   12+ years of experience managing large-scale, complex, cross-functional IT programs, with a strong focus on guest/customer experience platforms.
  </li>
  <li>
   <strong>
    Industry Exposure:
   </strong>
   Prior experience in the airline industry; familiarity with airline guest engagement systems is a strong advantage.
  </li>
  <li>
   <strong>
    Delivery Expertise:
   </strong>
   Proven ability to lead hybrid (agile and waterfall) delivery models and large program portfolios with transformational impact.
  </li>
 </ul>
 <p>
 </p>
</div>


Head

Nabat

<div>
 <p>
  <strong>
   Who is Nabat?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
  </strong>
  We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If this mission resonates with you, let&rsquo;s talk.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   What is the role?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
  <strong>
   Senior Software Engineers with proven GIS and AI experience
  </strong>
  and a passion for solving big complex problems in the nature, climate and geospatial tech space.
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Relocation to the UAE is required
  </strong>
  &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹Your responsibilities will include:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Own the end-to-end software development lifecycle
   </strong>
   for Nabat&rsquo;s ecosystem management platform
   <strong>
    as a senior/staff-level individual contributor
   </strong>
   . From conception, through discovery, design, proof of concept, development, launch and continuous iteration.
  </li>
  <li>
   <strong>
    Design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
   </strong>
   for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
  </li>
  <li>
   <strong>
    Write, test and support production code and maintain cloud services
   </strong>
   in your capacity as a full stack, backend, frontend, platform/infrastructure or data engineer &ndash; we're open to different specializations to round out the team.
  </li>
  <li>
   <strong>
    Work with AI engineers/data scientists and ecologists
   </strong>
   to develop, train, validate, refine and deploy AI models in production while meeting pre-defined performance criteria.
  </li>
  <li>
   <strong>
    Ideate and iterate on new and existing features
   </strong>
   , coming up with technically viable solutions, developing PoCs and prototypes to validate, and turning them into production-ready features and services
   <strong>
   </strong>
   that meet real-world user needs.
  </li>
  <li>
   <strong>
    Communicate and collaborate cross-functionally
   </strong>
   with product managers, data scientists, HW engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
  </li>
  <li>
   <strong>
    Knowledge transfer from and continuous engagement with researchers
   </strong>
   (from Technology Innovation Institute)
   <strong>
    and external partners
   </strong>
   to understand and take ownership what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹What are we looking for?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Technical prowess:
   </strong>
   You have extensive, hands-on development experience with, and an informed opinion on, many of the following tools, libraries, and frameworks in the modern Geospatial AI tech stack.
  </li>
  <li>
   <strong>
    Web app development frameworks
   </strong>
   : React, Node, Vue, Angular, JavaScript/TypeScript, Next.js, Sprint Boot or similar.
  </li>
  <li>
   <strong>
    Geospatial data processing, analysis, and visualization tools
   </strong>
   : Python, ArcGIS, QGIS, Grass GIS, Mapbox, Leaflet, GDAL, GeoPandas, etc. Bonus: You know who Matt Forrest is.
  </li>
  <li>
   <strong>
    AI/ML model development and engineering
   </strong>
   : familiarity with machine learning techniques, models and frameworks for image analysis, object detection, semantic segmentation, prediction, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc).
  </li>
  <li>
   <strong>
    Cloud platforms:
   </strong>
   experience using AWS, GCP, or Azure for geospatial data storage and processing.
  </li>
  <li>
   <strong>
    Data storage, query, caching and pipeline tools:
   </strong>
   GDAL, PostgreSQL, PostGIS, GeoParquet, Sedona, Kafka, BigQuery, RabbitMQ, Redis, etc. You can explain the difference between GeoTIFF and GeoJSON!
  </li>
  <li>
   <strong>
    CI/CD tools:
   </strong>
   GitHub, Docker, Kubernetes, Postman, Jenkins, PyTest, etc
  </li>
  <li>
   <strong>
    Monitoring and logging tools:
   </strong>
   Datadog, Kibana, Grafana, Sentry, Splunk, etc.
  </li>
  <li>
   Nice to have: experience integrating with cameras, robotics, IoT/sensor devices or other hardware.
  </li>
  <li>
   <strong>
    Builder/entrepreneur mindset:
   </strong>
   You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
  </li>
  <li>
   <strong>
    Communication excellence:
   </strong>
   You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
  </li>
  <li>
   <strong>
    Bias for action and execution:
   </strong>
   You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
  </li>
  <li>
   <strong>
    Problem-solving aptitude:
   </strong>
   You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
  </li>
  <li>
   Nice to haves: previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹Why join Nabat?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A once-in-a-lifetime opportunity to
 </p>
 <ul>
  <li>
   <strong>
    Join a well-funded early-stage tech startup
   </strong>
   at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
  </li>
  <li>
   <strong>
    Design, build and shape a product from the ground up
   </strong>
   using your unique skills and expertise.
  </li>
  <li>
   <strong>
    Work with a truly international and world-class R&amp;D team
   </strong>
   both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
   <u>
    https://www.atrc.gov.ae/
   </u>
   ), Technology Innovation Institute (
   <u>
    https://www.tii.ae/
   </u>
   ), and VentureOne (
   <u>
    https://www.ventureone.ae/
   </u>
   ) ecosystem.
  </li>
  <li>
   <strong>
    Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
   </strong>
   - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
  </li>
  <li>
   <strong>
    Make a real and direct impact
   </strong>
   to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹What is the hiring process like?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 </p>
 <ul>
  <li>
   <strong>
    Initial screening call
   </strong>
   with a member of our Talent team to ensure expectations and experience aligns.
  </li>
  <li>
   <strong>
    First interview with hiring manager
   </strong>
   about the role and ask questions &ndash;
   <u>
    Taha Ghaznavi
   </u>
   , Chief Product Officer, Nabat.
  </li>
  <li>
   <strong>
    Second interview with technical team member(s)
   </strong>
   to assess your capabilities. Might include a coding test and/or small case study.
  </li>
  <li>
   <strong>
    Third interview with a senior leader
   </strong>
   to assess culture fit and give you opportunity to meet your future stakeholders.
  </li>
  <li>
   Hiring decision and conditional offer.
  </li>
  <li>
   Background check and final offer.
  </li>
  <li>
   Relocation to the UAE and onboarding!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 </p>
</div>


Senior Software Engineer (Geospatial AI)

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Manage and optimize data platforms (Databricks, Palantir).
</p></div><div><p>Ensure high availability, security, and performance of data systems.
</p></div><div><p>Provide valuable insights about data platform usage.
</p></div><div><p>Optimize computing and storage for large-scale data processing.
</p></div><div><p>Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
</p></div><div><p>Optimize ETL Processes
</p></div><div><p>Enhance and tune existing ETL processes for better performance, scalability, and reliability.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum 10 Years of experience in IT/Data.
</p></div><div><p>Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
</p></div><div><p>Bachelor's in IT or related field.
</p></div><div><p>Infrastructure &amp; Cloud: Azure, AWS (expertise in storage, networking, compute).
</p></div><div><p>Data Platform Tools: Any of Palantir, Databricks, Snowflake.
</p></div><div><p>Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
</p></div><div><p>SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
</p></div><div><p>Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
</p></div><div><p>ETL Tools: Familiarity with ETL tools &amp; processes
</p></div><div><p>Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
</p></div><div><p>Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
</p></div><div><p>Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
</p></div><div><p>Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.
</p></div></div><p>Nice to have
</p><div><div><p>Containerization &amp; Orchestration: Docker, Kubernetes.
</p></div><div><p>Infrastructure as Code (IaC): Terraform.
</p></div><div><p>Understanding of Investment Data domain (desired).
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</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-118657
</p></div><div></div><div><div><p>DWH Development
</p></div><div><p>BCM Industry</p>
</div><div><p>29/10/2025
</p></div><div><p>Req. VR-118657</p></div></div></div><p></p>

Lead Data Platform Engineer/Architect

<div><p>At Data &amp; AI Hub we&rsquo;re unlocking cross-portfolio value through a centralized data platform and AI-powered solutions that drive efficiency, profitability, and innovation across our operating companies. Aligned with the UAE&rsquo;s bold vision for AI leadership, our <b>Data &amp; AI Hub </b>is shaping the future of data-driven governance, building the next generation of AI products with both regional and global impact.</p><p><b>
Role Summary</b></p><p>
We&rsquo;re looking for a UX/UI Design Lead to shape the next generation of our AI-powered products. You&rsquo;ll craft intuitive, scalable, and human-centered experiences that make complex AI capabilities simple and impactful for users. As part of a fast-growing startup, you&rsquo;ll work closely with product managers, AI engineers, and developers to define, design, and deliver innovative features that bring intelligence to the core of our platform. You&rsquo;ll help turn powerful technology into seamless user experiences that drive adoption and delight.</p><p><b><br>
Key Responsibilities</b></p><ul>
<li><ul><li>Collaborate with product managers, AI engineers, and developers to design elegant, intuitive solutions aligned with business and user goals</li>
<li>Translate complex AI workflows and data into clear, usable, and visually engaging experiences</li>
<li>Design and prototype end-to-end product flows using Figma and other relevant tools</li>
<li>Conduct and apply insights from user research and usability testing to guide design decisions</li>
<li>Contribute to and scale our design system, ensuring consistency across all products and touchpoints</li>
<li>Present design concepts effectively, communicating rationale grounded in user needs and data</li>
<li>Stay up to date with AI product design trends, human&ndash;AI interaction principles, and best practices in data visualization</li>
</ul></li></ul><p><b>
Candidate Requirements</b></p><ul>
<li><ul><li>Strong portfolio showcasing high-quality, user-centered product design &mdash; ideally for complex or data-driven systems</li>
<li>10+ years of professional experience in UX/UI or product design</li>
<li>Expert-level proficiency in Figma (components, design systems, prototyping)</li>
<li>Deep understanding of user-centered design principles and usability fundamentals</li>
<li>Comfortable working in a fast-paced, iterative startup environment. Excellent communication and collaboration skills &mdash; you can clearly explain design decisions to technical and non-technical audiences</li>
</ul></li></ul><p><b>
Desirable</b></p><ul>
<li>
Experience designing for AI-powered tools, automation systems, or data platforms</li>
<li>Familiarity with machine learning concepts and how they translate into user-facing features</li>
<li>Keen attention to detail and strong visual design sensibility. Experience working with distributed or multinational teams</li>
<li>Awareness of ethical design considerations in AI products</li>
</ul><p><b>
Disclaimer</b></p><p>
This job posting is not open to recruitment agencies. Any candidate profile submitted by a recruitment agency will be considered as being received directly from an applicant. Contango reserves the rights to contact the candidate directly, without incurring any obligations or liabilities for payment of any fees to the recruitment agency.</p></div>

UX/UI Design Lead

HireOn

<div>
 <strong>
  Job Title:
 </strong>
 Senior Automation &amp; AI Quality Engineer
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Abu Dhabi, UAE (Onsite)
 <br/>
 <br/>
 <strong>
  Salary Range:
 </strong>
 AED 16,000 &ndash; 21,000 per month
 <br/>
 <br/>
 <strong>
  Experience Required:
 </strong>
 5&ndash;8+ Years
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 HireOn is sourcing this position for its reputed client in Abu Dhabi. We are looking for a
 <strong>
  Senior Automation &amp; AI Quality Engineer
 </strong>
 to lead quality assurance activities across next-generation AI platforms. The role involves ensuring high standards of functionality, reliability, and performance while testing AI models, APIs, and end-to-end web systems. You will be at the forefront of validating model accuracy, assessing data quality, and enhancing user experience within intelligent software ecosystems.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and execute detailed test cases to validate system features, APIs, and end-to-end integrations.
  </li>
  <li>
   Build and maintain automation frameworks using Java-based tools such as Selenium, TestNG, or similar technologies.
  </li>
  <li>
   Perform manual, exploratory, and AI-output testing to ensure model predictions and workflows meet quality expectations.
  </li>
  <li>
   Evaluate and validate training datasets, detect data inconsistencies, and assess model-generated responses.
  </li>
  <li>
   Document, log, and track issues effectively using JIRA or other defect management systems.
  </li>
  <li>
   Collaborate closely with Machine Learning, Development, and Automation teams to define QA strategies, acceptance criteria, and validation standards.
  </li>
  <li>
   Participate in regression, system integration, and release testing cycles.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Skills &amp; Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5 to 8+ years of hands-on experience in software quality assurance and testing.
  </li>
  <li>
   Strong expertise in test automation using Java.
  </li>
  <li>
   Proficient understanding of Agile processes, QA methodologies, and the complete testing lifecycle.
  </li>
  <li>
   Experience with test management tools like TestRail or Zephyr, and issue tracking tools such as JIRA or Azure DevOps.
  </li>
  <li>
   Solid background in API testing, preferably with Postman.
  </li>
  <li>
   Exceptional analytical thinking, communication, and problem-solving skills.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred (Nice To Have)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Familiarity with AI/ML systems, particularly testing LLMs, NLP, or computer vision outputs.
  </li>
  <li>
   Experience validating training data quality, assessing AI model performance, and ensuring stability in production environments.
   <br/>
   <br/>
  </li>
 </ul>
 Skills: testng,api testing,java,selenium,automation,machine learning
</div>


Senior Automation & AI Quality Engineer

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