mechanical engineer

data engineer

estimation engineer

software engineer

application engineer

machine learning engineer

Department of Finance - Abu Dhabi

<div>
 <strong>
  About The Department Of Finance &ndash; Abu Dhabi
  <br/>
  <br/>
 </strong>
 Established in 1966 with the objective of strengthening the financial sustainability of the Emirate, DoF is responsible for the development and execution of the Abu Dhabi government&rsquo;s annual budget and for overseeing government returns, expenditures, funding and liquidity. DoF does this by working closely in partnership with the relevant local government entities and the Abu Dhabi Executive Council.
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 Under general directions, Data Scientist is primarily responsible to mine, clean, model, and interpret data to deliver business insights to DoF&rsquo;s business users through relevant tools, dashboards and reports.
 <br/>
 <br/>
 Key objectives for the role include (but not limited to):
 <br/>
 <br/>
 <ul>
  <li>
   Collaborate with product design and engineering to develop an understand business users&rsquo; needs
  </li>
  <li>
   Research and devise innovative statistical models for data analysis using advanced Machine Learning, NLP and AI technologies
  </li>
  <li>
   Design, develop and implement end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building and performance evaluation)
  </li>
  <li>
   Enable smarter business processes and implement advanced analytics solutions for meaningful insights
  </li>
  <li>
   Desing and implement databases integrations to enrich existing data sources
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Essential Duties
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through DoF&rsquo;s business capabilities and work closely with the engineering team to strategize and execute the development of data products
  </li>
  <li>
   Execute analytical experiments methodically to help solve problems and make true impact across the organisation
  </li>
  <li>
   Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables
  </li>
  <li>
   Devise and utilize advanced algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
  </li>
  <li>
   Analyse data for trends, patterns and interpret data and develop advanced and accurate prediction algorithms with a clear business objective
  </li>
  <li>
   Implement advanced analytical models into production by collaborating with other software developers
  </li>
  <li>
   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
  </li>
  <li>
   Develop agentic AI solutions using AI models (SLM, LLM) and other AI specific workflow automation tools
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Generic Accountabilities
  <br/>
  <br/>
 </strong>
 <strong>
  Supervision
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Plan, supervise and coordinate all activities in the assigned area to meet functional objectives
  </li>
  <li>
   When necessary, train and develop the direct reporting staff on relevant skills to enable them to become proficient on the job and deliver the respective section objectives
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Budgets
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide input for preparation of the department budgets and assist in the implementation of the approved budget and work plans to deliver department objectives
  </li>
  <li>
   Investigate and highlight any significant variances to support effective performance and cost control
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Policies, Systems, Processes &amp; Procedures
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implement approved department policies, processes, systems, standards and procedures to support execution of the work programs in line with DoF and best international standards
  </li>
  <li>
   Comply with all applicable legislation and legal regulations
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Performance Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Contribute to the achievement of the approved Performance Objectives for the department in line with the organization performance framework
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Innovation and Continuous Improvement
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement new tools and techniques to improve the quality and efficiency of operational processes
  </li>
  <li>
   Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with industry best standards to define intelligent solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Health, Safety, Environment (HSE) and Sustainability
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Comply with relevant HSE policies, procedures &amp; controls and applicable legislation and sustainability guidelines in line with international standards, best practices and DoF Code of Practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Reports
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide inputs and prepare progress reports
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Communications &amp; Working Relationships
  <br/>
  <br/>
 </strong>
 <strong>
  Internal
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Daily interaction with business users, peers, IT staff, and other focal points to discuss and implement Machine Learning/AI solutions and other related projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  External
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Federal and Local Entities at equivalent level to coordinate/participate on API and data integration
  </li>
  <li>
   Vendors and business solution providers for exchange of information &amp; technical/commercial clarifications
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications, Experience, Knowledge &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in statistics, applied mathematics, or related discipline
  </li>
  <li>
   Master&rsquo;s degree in stats, applied math, or related discipline
  </li>
  <li>
   7+ years of solid experience in data science
  </li>
  <li>
   Proficiency with data mining, mathematics, and advanced statistical analysis
  </li>
  <li>
   Advanced pattern recognition and predictive modelling experience
  </li>
  <li>
   Experience with Machine Learning and Python for forecasting, predictions and optimization
  </li>
  <li>
   Strong experience with SQL, Phyton, Pandas, Matplotlib, Seaborn, Plotly, Scikit-learn, SciPy, NumPy, Anaconda, Jupyter Notebook, PyTorch and other similar tools
  </li>
  <li>
   Familiar with Spark, TensorFlow, Analysis Services, GitLab
  </li>
  <li>
   Comfortable working in a very dynamic environment with several ongoing concurrent projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Other Technical Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in developing and documenting Standards and Processes
  </li>
  <li>
   Strong Communication, interpersonal and people management skills
  </li>
 </ul>
</div>


Senior Specialist - Data Science

Digital Corner for Network Solutions

<p><b>About</b></p><p>This opportunity is for a leading Energy &amp; Gas giant in the UAE. We are looking for a Data Scientist to apply advanced analytical techniques to vast industrial datasets. You will build predictive models that drive efficiency, safety, and profitability across the organization's operations.</p><p><b>Responsibilities</b></p><ul><li>Conduct exploratory data analysis (EDA) on large, complex datasets to identify trends and patterns.</li><li>Develop, train, and validate predictive models and machine learning algorithms to solve specific business problems.</li><li>Collaborate with domain experts (e.g., engineers, geologists) to understand data context and feature engineering requirements.</li><li>Apply statistical methods to test hypotheses and quantify uncertainty in model predictions.</li><li>Visualize and communicate findings to stakeholders, translating technical results into actionable business insights.</li><li>Continuously research and experiment with new algorithms and techniques to improve model performance.</li><li>Clean and preprocess data to ensure high-quality inputs for modeling.</li></ul><p><b>Requirements</b></p><ul><li><b>Experience:</b> 2&ndash;8 Years .</li><li>Strong background in statistics, mathematics, or a related quantitative field.</li><li>Proficiency in Python or R for data analysis and modeling.</li><li>Experience with a wide range of ML techniques (Regression, Classification, Clustering, Time-series forecasting).</li><li>Familiarity with data visualization libraries (Matplotlib, Seaborn, Plotly).</li><li>Strong problem-solving skills and the ability to work with unstructured data.</li></ul><p><b>Bonus</b></p><ul><li>Experience with geospatial data analysis.</li></ul><p>Job Type: Full-time</p><p>Pay: AED10,000.00 - AED15,000.00 per month</p>

Data Scientist

Durlston Partners

<div></div><div><div><div><div>AI - ML, Alpha/Signal Generation, Data Science, Discretionary Trading &amp; Research, Finance, Portfolio Management, Quantitative Developer, Systematic Trading &amp; Research, Trading
</div><div>$850,000
</div><div>Abu Dhabi, Amsterdam, Australia, California, Cayman Islands, Chicago, Dubai, Europe, France, Hong Kong, India, London, Middle East, Netherlands, New York, Remote, Singapore, Switzerland, Sydney, UK, USA, Zug, Zurich</div><p></p><div><br>
</div></div></div><div><div><div><p><b>Quantitative Researcher &ndash; APAC, US, Europe, London, UAE, Remote</b></p>
<p>
Durlston Partners is working with several top-tier Systematic Trading firms that are looking for Quant Researchers, where you&rsquo;ll develop statistical models, uncover market inefficiencies, and work closely with engineers and traders to bring strategies from idea to production.</p>
<p><b>
What You&rsquo;ll Do:</b></p>
<ul>
<li>Research, design, and test systematic trading strategies</li>
<li>Analyse large, noisy datasets to identify predictive signals</li>
<li>Build and refine models using statistical, ML, or econometric techniques</li>
<li>Collaborate with engineering to deploy and monitor live strategies</li>
</ul>
<p><b>What They&rsquo;re Looking For:</b></p>
<ul>
<li>Strong quantitative background (math, physics, CS, statistics)</li>
<li>Proficiency in Python, R, or similar research languages</li>
<li>Experience with statistical modeling, time-series analysis, or machine learning</li>
<li>Curiosity, rigor, and a passion for data-driven decision-making</li>
</ul>
<p><b>Perks:</b></p>
<ul>
<li>Highly competitive pay and bonuses</li>
<li>Cutting-edge tech and challenging problems</li>
<li>Strong project ownership</li>
<li>Great benefits package</li>
</ul>
<p><b>How to:</b></p>
Please<ul><li> to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: <b>david@durlstonpartners.com</b></li></ul></div></div></div></div><p></p>

Quantitative Researcher

Core42

<div>
 <strong>
  Data Scientist, Core42, Abu Dhabi &ndash; UAE
  <br/>
  <br/>
 </strong>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Core42, a leader in AI-powered cloud and digital infrastructure, is driving transformative technology solutions globally. Leveraging advanced resources and partnerships, Core42 empowers clients to harness sovereign AI infrastructure, especially in sectors with stringent regulatory needs. With a mission to redefine digital transformation, we combine sovereign capabilities with scalable, high-performance compute infrastructure, positioning ourselves at the forefront of AI innovation in the Middle East and beyond.
 <br/>
 <br/>
 <strong>
  The opportunity
  <br/>
  <br/>
 </strong>
 As a Data Scientist at Core42, you will work at the forefront of generative AI, cloud technologies, and large-scale digital transformation. You will design advanced algorithms, build enterprise-scale models, and deploy solutions across sovereign cloud and HPC environments. The role requires close collaboration with cybersecurity, cloud engineering, and executive stakeholders to develop innovative, secure, and scalable AI solutions that empower public sector and enterprise clients across the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ead the design and implementation of advanced machine learning and generative AI models to solve complex, high-impact business and national-scale challenges.
  </li>
  <li>
   Translate analytical insights into actionable recommendations that drive enterprise and public sector digital transformation.
  </li>
  <li>
   Oversee and mentor a team of data scientists, cultivating a culture of innovation, continuous learning, and technical excellence.
  </li>
  <li>
   Collaborate closely with cross-functional teams&mdash;including cybersecurity, cloud engineering, and product&mdash;to integrate multi-disciplinary solutions.
  </li>
  <li>
   Pioneer new generative AI methodologies and help set benchmarks for national-level solution deployment.
  </li>
  <li>
   Advocate for data-driven decision making by establishing best practices in data acquisition, management, processing, and analysis.
  </li>
  <li>
   Ensure the security, privacy, and compliance of all data systems in alignment with industry-leading cybersecurity standards.
  </li>
  <li>
   Identify and evaluate emerging technologies in AI, cloud computing, and big data, integrating relevant advancements into Core42&rsquo;s service offerings.
  </li>
  <li>
   Communicate complex data concepts, insights, and solution value clearly to technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Required skills / qualifications
  </li>
  <li>
   Certifications in data science, AI, or cloud platforms (AWS, Azure, GCP, etc.).
  </li>
  <li>
   Minimum 10 years of general technological experience.
  </li>
  <li>
   At least 5 years of specific experience working as a data scientist within cloud environments.
  </li>
  <li>
   Strong proficiency with big data tools, analytics suites, and modern machine learning frameworks.
  </li>
  <li>
   Mastery of data science, analytics, and advanced modeling techniques.
  </li>
  <li>
   Background in Computer Science, Data Science, Statistics, or related fields; Master&rsquo;s or PhD is a plus.
  </li>
  <li>
   Experience deploying AI/ML workloads in cloud or HPC environments.
  </li>
  <li>
   Solid understanding of cybersecurity best practices and secure data handling principles.
  </li>
  <li>
   Proven leadership skills, with experience managing or mentoring technical teams.
  </li>
  <li>
   Preferred skills / qualifications
  </li>
  <li>
   Experience building and deploying generative AI solutions at scale.
  </li>
  <li>
   Strong strategic planning and execution capabilities within complex technical environments.
  </li>
  <li>
   Ability to coordinate with cross-functional teams to deliver integrated AI-cloud solutions.
  </li>
  <li>
   Excellent communication skills, with the ability to simplify complex analytical concepts for diverse audiences.
  </li>
  <li>
   Passion for innovation, curiosity, and a bias for action &mdash; aligned with Core42&rsquo;s mission to conquer new frontiers in AI.
  </li>
 </ul>
</div>


Elios Talent

<div>
 <p>
  🌟
  <strong>
   Senior Data Scientist
  </strong>
  🌟
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Abu Dhabi (UAE-based)
  </strong>
 </p>
 <p>
  💼
  <strong>
   Contract Role | In-Country Delivery
  </strong>
 </p>
 <p>
  🛢️
  <strong>
   Energy &bull; Real-Time Well Data &bull; Advanced Modeling
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  💡
  <strong>
   Job Information
  </strong>
 </p>
 <p>
  We&rsquo;re seeking a
  <strong>
   Senior Data Scientist
  </strong>
  based in the UAE&mdash;preferably Abu Dhabi&mdash;to support real-time well data analysis, model validation, and rapid iteration between In-Country and U.S.-based engineering teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role plays a critical part in ensuring that live well data streams are accurately interpreted, model outputs remain reliable, and operational insights are quickly actioned. You will serve as the on-the-ground technical bridge, validating performance, identifying anomalies, tuning parameters, and generating high-quality metrics that accelerate global model improvement cycles.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position requires exceptional analytical thinking, deep domain understanding, and the ability to communicate technical findings clearly across geographically distributed teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🧭
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Access, analyze, and interpret
   <strong>
    live well data
   </strong>
   from in-country systems
  </li>
  <li>
   Validate machine learning model outputs and ensure alignment with operational expectations
  </li>
  <li>
   Tune local parameters to optimize predictive performance in field conditions
  </li>
  <li>
   Identify anomalies, data drift, and data quality issues in near real time
  </li>
  <li>
   Generate
   <strong>
    high-quality error metrics
   </strong>
   and structured evaluation reports
  </li>
  <li>
   Collaborate closely with U.S.-based scientists and engineers to accelerate model iteration
  </li>
  <li>
   Produce clear, thorough technical documentation to support cross-team workflows
  </li>
  <li>
   Communicate findings, concerns, and recommendations with precision and clarity
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🎯
  <strong>
   Ideal Candidate Profile
  </strong>
 </p>
 <ul>
  <li>
   Must be
   <strong>
    based in the UAE
   </strong>
   (Abu Dhabi strongly preferred)
  </li>
  <li>
   Senior-level experience in data science, ML modeling, or applied analytics
  </li>
  <li>
   Strong understanding of time-series data, anomaly detection, and model validation workflows
  </li>
  <li>
   Experience working with operational or real-time industrial data (energy sector is a plus)
  </li>
  <li>
   Ability to independently evaluate models, tune parameters, and assess data quality
  </li>
  <li>
   Excellent written and verbal communication skills for U.S. and in-country collaboration
  </li>
  <li>
   Detail-oriented, structured, and highly reliable in fast-moving technical environments
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist

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 Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
  </strong>
  .
 </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>
 <p>
  &bull;
  <strong>
   Act as senior/staff-level individual contributor
  </strong>
  to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 </p>
 <p>
  &bull;
  <strong>
   Research, develop, train, validate, refine and deploy models
  </strong>
  that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 </p>
 <p>
  Some of the problems you might be working on using satellite and drone imagery:
 </p>
 <p>
  &EmptyVerySmallSquare;️ land use/cover classification
 </p>
 <p>
  &EmptyVerySmallSquare;️ identification of plant native and invasive species
 </p>
 <p>
  &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 </p>
 <p>
  &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 </p>
 <p>
  &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 </p>
 <p>
  &EmptyVerySmallSquare;️ detecting ecosystems at risk
 </p>
 <p>
  &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 </p>
 <p>
  &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 </p>
 <p>
  &bull; In close collaboration with software and data engineers,
  <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).
 </p>
 <p>
  &bull;
  <strong>
   Communicate and collaborate cross-functionally
  </strong>
  with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 </p>
 <p>
  &bull;
  <strong>
   Knowledge transfer from and continuous engagement with researchers
  </strong>
  (from Technology Innovation Institute) and external partners to understand and take ownership of 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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹 What are we looking for?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   A strong research/academic foundation
  </strong>
  with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 </p>
 <p>
  &bull;
  <strong>
   Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
  </strong>
  , including:
 </p>
 <p>
  &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 </p>
 <p>
  &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 </p>
 <p>
  &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 </p>
 <p>
  &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 </p>
 <p>
  &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 </p>
 <p>
  &bull;
  <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.
 </p>
 <p>
  &bull;
  <strong>
   Communication excellence
  </strong>
  : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 </p>
 <p>
  &bull;
  <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.
 </p>
 <p>
  &bull;
  <strong>
   Problem-solving aptitude
  </strong>
  : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 </p>
 <p>
  &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   🔹Why join Nabat?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  A once-in-a-lifetime opportunity to
 </p>
 <p>
  <br/>
 </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>
 <p>
  <br/>
 </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 Data Scientist (Geospatial AI)

Enerflex

<div><div><div><div><div><b>Business Unit: </b>Eastern Hemisphere
</div></div></div></div><div><div><div><div><b>Location:
</b>Abu Dhabi, AE
</div></div></div></div><div><div><div><div><b>Travel: </b>Up to 25%
</div></div></div></div><div><div><div><div><b>Req ID: </b>3376
</div></div></div></div><div><div><div><div><p>AI Engineer- Asset Management
</p></div></div></div></div><div><div><div><div><div><div><div><div><b>Summary</b></div>
</div><div><div>
We are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies&mdash;including LLMs (Large Language Models) and SLMs (Small Language Models)&mdash;to real-world industrial challenges.</div></div></div><div><div><div><b>
Principle Responsibilities and Duties</b></div>
</div><div><ul><li>Design, develop, and deploy AI applications to support:</li>
<ul><li>Predictive and preventive maintenance</li>
<li>Asset life extension strategies</li>
<li>Operational cost reduction</li>
<li>Equipment safety and reliability</li>
</ul><li>Leverage LLMs/SLMs for intelligent automation and decision support</li>
<li>Collaborate with cross-functional teams to identify AI opportunities</li>
<li>Work within Azure cloud environments and integrate with Microsoft Copilot tools</li>
<li>Ensure all work complies with company policies, procedures, and confidentiality standards</li>
<li>Provide structured, timely updates and reports on project progress</li>
<li>Explore and evaluate emerging AI technologies and methodologies</li>
<li>Demonstrate flexibility in adapting to evolving project needs and priorities</li>
</ul></div></div><div><div><div><b>Qualifications</b></div>
</div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field</li>
<li>Minimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environments</li>
<li>Proficiency in programming languages such as Python, R, or similar</li>
<li>Experience working with Azure cloud services and AI tools</li>
<li>Familiarity with Microsoft Copilot and its integration into enterprise workflows</li>
<li>Strong communication skills in English (written and verbal)</li>
<li>Ability to work independently while maintaining alignment with team goals</li>
<li>Willingness to travel internationally as required</li>
<li>Adherence to strict confidentiality and data protection standards</li>
<li>Structured reporting and documentation practices</li>
<li>Collaborative and proactive mindset</li>
<li>Commitment to continuous learning and innovation</li>
<li>
<div><b>Preferred Skills:</b></div>
</li>
<li>Experience with asset management systems or industrial operations in gas compression and gas processing industry</li>
<li>Knowledge of maintenance management frameworks (e.g., RCM, CBM)</li>
<li>Understanding of data governance, security, and compliance in AI applications</li>
<li>Ability to translate business needs into technical solutions</li>
</ul></div></div><div><div><div><b>Physical Requirements</b></div>
</div><div><ul><li>Remote work flexibility with a base in Abu Dhabi</li></ul></div></div></div><br>
<div></div>
<div><b>About Us:</b></div><br>
<div></div><div><b>Transforming Energy for a Sustainable Future.</b> Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.<br>
<br>
Enerflex places its core <b>Values of Integrity, Commitment, Creativity, and Success</b> into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.<br>
<br>
We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.</div><br>
<div></div>
<div><b>Enerflex is an Equal Opportunity Employer</b></div>
<div>Enerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.</div><br>
<div></div>
<div><b>Disclaimer</b></div>
<div>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.</div></div></div></div></div></div><p></p>

AI Engineer- Asset Management

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