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product lead senior python engineer ckan ai enabled data platforms

AY Solution

<p>Location: Abu Dhabi</p><p>CTC: Up to 17,000 AED/month</p><p>Role Overview</p><p>We are seeking an experienced Product Lead &amp; Senior Python Engineer to lead the design, development, and delivery of CKAN-based data platforms. The role combines product ownership, backend engineering, and AI-enabled data solutions, working closely with stakeholders to build scalable, secure, and high-performance data systems.</p><p>You will own the CKAN roadmap, customize platform capabilities, and integrate modern APIs, pipelines, and AI/ML features to deliver business value.</p><p>Key Responsibilities</p><p>Product &amp; Platform Leadership</p><ul><li>Own CKAN platform roadmap, backlog, and prioritization aligned with business KPIs</li><li>Conduct stakeholder discovery to define dataset publishing workflows and governance rules</li><li>Define requirements, acceptance criteria, and delivery milestones</li></ul><p>Engineering &amp; Development</p><ul><li>Develop, customize, and extend CKAN using Python and CKAN&rsquo;s plugin architecture</li><li>Build extensions for custom schemas, validators, actions, and workflow automation</li><li>Design and maintain scalable backend services using FastAPI, Django, or Flask</li><li>Implement CKAN Action API and REST integrations with internal/external systems</li><li>Build and integrate REST &amp; GraphQL APIs</li></ul><p>Data &amp; AI Integration</p><ul><li>Design and manage ETL/ELT pipelines</li><li>Integrate AI/ML/NLP models for classification, tagging, summarization, and recommendations</li><li>Optimize performance and reliability of data workflows</li></ul><p>Security &amp; Governance</p><ul><li>Implement authentication, authorization, and secure service-to-service integrations</li><li>Ensure compliance with governance and data management standards</li></ul><p>Required Qualifications</p><ul><li>5+ years of professional Python development experience</li><li>Strong hands-on experience with CKAN (plugins, actions, schema customization)</li><li>Backend development expertise using FastAPI/Django/Flask</li><li>Solid experience with PostgreSQL and Elasticsearch</li><li>Experience designing and operating ETL/ELT pipelines</li><li>Experience integrating AI/ML or NLP capabilities into production systems</li></ul><p>Preferred Skills</p><ul><li>Product ownership or technical leadership experience</li><li>Knowledge of cloud platforms (AWS/Azure/GCP)</li><li>Containerization (Docker/Kubernetes)</li><li>CI/CD and DevOps practices</li><li>Strong problem-solving and stakeholder communication skills</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you have experience in Product Lead &amp; Senior Python Engineer (CKAN &amp; AI-Enabled Data Platforms)</li><li>Salary expectations </li><li>Notice period</li></ul>

Product Lead & Senior Python Engineer (CKAN & AI-Enabled Data Platforms)

DICETEK LLC

<p></p><div><p><b>Principal Full Stack Engineer - Cloud FinOps Platform</b></p><p>
</p><p><b>Job Summary</b></p><p>
We are seeking an experienced Principal Engineer to lead the technical design, architecture, and delivery of an enterprise-grade Multi-Cloud FinOps Platform. This role will own the end-to-end technical vision, mentor senior engineers, and drive architectural decisions across data engineering, cloud infrastructure, and application development.</p><p><b>
Key Responsibilities</b></p><ul><li>Define and own the overall technical architecture for the CloudFin platform spanning Azure, AWS, and OCI integration</li><li>Lead architectural decisions for data lakehouse design, API layer, and frontend applications</li><li>Establish coding standards, design patterns, and best practices across the engineering team</li><li>Conduct architecture reviews and ensure alignment with enterprise security and compliance standards</li><li>Design the medallion architecture (Bronze/Silver/Gold) using Delta Lake and Databricks</li><li>Architect data ingestion pipelines from multiple cloud providers using Event Hubs, Azure Functions, and Delta Live Tables</li><li>Define data governance strategy using Unity Catalog including row-level and column-level security</li><li>Design cost allocation, chargeback, and shared cost distribution algorithms</li><li>Architect AKS deployment for backend microservices with proper scaling and resilience</li><li>Mentor and guide senior full-stack engineers on complex technical problems</li><li>Collaborate with product management (CCoE) to translate business requirements into technical specifications</li><li>Drive technical roadmap planning and sprint execution</li><li>Conduct code reviews and ensure high-quality deliverables</li></ul><p>
</p><p><b>Required Technical Qualifications</b></p><ul><li>12+ years of software engineering experience with 5+ years in principal or staff engineer roles</li><li>5+ years of experience with cloud platforms, preferably Azure with exposure to AWS and OCI</li><li>3+ years of experience with data engineering and lakehouse architectures</li><li>Proven track record of delivering enterprise-scale platforms from inception to production</li><li>Expert-level proficiency in React, Python, and TypeScript</li><li>Deep experience with Databricks, Delta Lake, and Spark</li><li>Strong knowledge of Azure services including AKS, ADLS Gen2, Event Hubs, Azure Functions, and API Management</li><li>Proficiency in designing RESTful APIs and GraphQL services using FastAPI or similar frameworks</li><li>Strong understanding of CI/CD pipelines using Azure DevOps or GitHub Actions</li><li>Experience designing multi-cloud data integration solutions</li><li>Knowledge of FinOps principles and cloud cost management concepts</li><li>Understanding of enterprise security patterns including zero-trust architecture, private endpoints, and managed identities</li><li>Experience with event-driven architectures and streaming data platforms</li><li>Excellent communication skills with ability to present to technical and non-technical stakeholders</li><li>Strong problem-solving and decision-making abilities</li><li>Experience leading distributed engineering teams</li><li>Ability to balance technical excellence with business delivery timelines</li></ul></div><p></p>

Principal Full Stack Engineer - Cloud FinOps Platform

Emirates Investment Authority

<div><h3 class="jobSectionHeader"><b>Purpose</b></h3><h3 class="jobSectionHeader"><b>
The Talent Acquisition Manager is responsible for designing and executing a forward-looking, digitally and AI enabled talent acquisition strategy that ensures the organization attracts world-class investment and corporate talent. The role leads end-to-end hiring across the organisation. This includes driving a strong Emiratization agenda and ensuring alignment with the organization's long-term workforce strategy.</b></h3><p></p><h3 class="jobSectionHeader"><b>
This position plays a critical role in transforming the recruitment function through AI-driven sourcing tools, automation, workforce analytics, and HR chatbots, ensuring an optimized, data-rich, and candidate-centric recruitment experience suitable for a sovereign wealth fund operating in global financial markets.</b></h3><h3 class="jobSectionHeader"><b>
Strategic Responsibilities</b></h3><p></p><ul><li><br>
Develop and execute an enterprise-wide <b>Talent Acquisition Strategy</b> that supports long-term capability needs with a clear strategy on sourcing qualified talent from the industry</li><li>Lead the <b>digital transformation of recruitment</b>, integrating AI-enabled screening, predictive analytics, automated workflows, and talent intelligence to enhance quality of hire and reduce cycle times.</li><li>Drive a proactive <b>Emiratization hiring strategy</b>, providing opportunities for UAE National talent.</li><li>Partner with senior leadership, business heads, and the HR team to forecast workforce needs and translate them into structured hiring plans.</li><li>Drive the <b>Employer Branding Strategy</b>, positioning EIA as an employer of choice locally and globally by leveraging institutional brand equity, digital content, talent communities, and industry partnerships.</li><li>Establish governance for all talent acquisition processes, ensuring alignment with internal policies, Board governance, and regulatory requirements.</li><li>(In conjunction with relevant corporate functions) define and maintain a governance framework for AI in Talent Acquisition, covering data usage, vendor selection, performance monitoring, and improving / phasing-out tools that no longer meet quality or risk standards.</li><li>Ensure hiring complies with data privacy regulations, and EIA policies, including transparency, fairness, non-discrimination, and candidate due-process standards.</li><li>Build Human In the Loop processes to ensure recruitment related roles remain augmented (not displaced) by AI augmented as well ongoing human skill development in talent acquisition</li><li>Lead <b>manpower planning and workforce demand forecasting</b> in collaboration with business leaders and Finance, ensuring alignment with investment strategy and approved headcount plans.</li><li>Support <b>organization design and role structuring</b>, including job design, span of control, and headcount optimization.</li><li>Manage and monitor the <b>Talent Acquisition budget</b>, ensuring cost-effective hiring, vendor spend discipline, and alignment with approved workforce plans.</li></ul><p></p><p><b><br>
Core Responsibilities</b></p><p></p><h3 class="jobSectionHeader"><b>
 </b><b>1. End-to-End Recruitment Management</b><b>
</b></h3><ul><li>Oversee the full recruitment lifecycle: job design, sourcing, assessments, interview management, offers, onboarding, and post-hire integration.</li><li>Ensure <b>AI-augmented candidate screening and shortlisting</b> using ATS algorithms, skill-based matching, and chatbot-enabled candidate engagement.</li><li>Maintain strong hiring processes for senior, specialist, and investment roles including due diligence, reference checks, and assessment centre management.</li><li>Embed competency-based and behaviour-based selection methodologies aligned with organizational values and investment-industry expectations.</li></ul><h3 class="jobSectionHeader"><b>
2. Talent Intelligence, Analytics &amp; Reporting</b></h3><ul><li>Build and maintain advanced <b>Talent Acquisition dashboards</b> covering hiring trends, pipeline analytics, time-to-fill, cost-per-hire, source effectiveness, and workforce forecasting.</li><li>Apply <b>predictive analytics</b> to analyse attrition risks, talent gaps, and long-term hiring needs.</li><li>Provide market insights on compensation, investment sector mobility, and talent availability.</li></ul><h3 class="jobSectionHeader"><b>
3. Emiratization &amp; National Talent Development</b></h3><ul><li>Lead targeted strategies to identify, attract, assess, and onboard UAE Nationals across all business units.</li><li>Establish partnerships with universities, scholarship programs, and government entities to build strong national pipelines.</li><li>Align hiring practices with Emiratization KPIs, national reporting requirements, and relevant governance structures.</li></ul><h3 class="jobSectionHeader"><b>
4. Employer Branding &amp; Talent Pipelines</b></h3><ul><li>Build global and local talent communities for ongoing talent needs such as UAE National investment professionals.</li><li>Promote internships, analyst programs, early careers initiatives, and UAE National rotational programs.</li></ul><h3 class="jobSectionHeader"><b>
5. Vendor &amp; Technology Management</b></h3><ul><li>Oversee partnerships with recruitment agencies, executive search firms, assessment vendors, and technology providers.</li><li>Evaluate and implement <b>AI, automation, and recruitment-tech platforms</b> (ATS, CRM, assessment tools) to enhance efficiency and decision quality.</li><li>Ensure vendor performance meets agreed-upon SLAs and governance requirements.</li></ul><h3 class="jobSectionHeader"><b>
 6. Manpower Planning, Budgeting &amp; Organization Design</b></h3><ul><li>Execute annual and multi-year manpower planning cycles and translate approved plans into hiring roadmaps.</li><li>Partner with Finance to manage recruitment-related budgets, track spend, and optimize cost efficiency.</li><li>Support organizational structure changes, role creation, and headcount approvals in line with governance requirements.</li><li>Provide data-driven insights on workforce capacity, hiring prioritization, and organizational effectiveness.</li></ul><h3 class="jobSectionHeader"><b>
6. Governance, Compliance &amp; Quality Assurance</b></h3><ul><li>Work with relevant internal functions such as Risk Management, Legal, IT and HR Enablement to ensure all recruitment practices comply with Emiratization requirements, audit guidelines, and internal HR policies.</li><li>Maintain detailed documentation for audits, risk reviews, and process transparency.</li><li>Reduce hiring-related risks through strong controls, structured assessments, and data accuracy.</li><li>Ensure best practice management of AI tools including transparency, bias management, and accountability.</li><li>Monitor and validate AI and algorithmic models used in Talent Acquisition, including performance, accuracy, and fairness metrics; manage recalibration, retraining, or retirement where needed.</li><li>Maintain documentation of AI models and tools used in recruitment, including purpose, data sources, key assumptions, known limitations, and controls.</li><li>Undertake regular audits or AI-enabled processes to monitor for bias, accuracy, privacy and acceptable use</li></ul><h3 class="jobSectionHeader"><b>
People &amp; Leadership Responsibilities</b></h3><ul><li>Lead, mentor, and develop the Talent Acquisition team to ensure capability growth, AI literacy, and operational excellence.</li><li>Foster a culture of collaboration, innovation, service excellence, and accountability.</li><li>Serve as a trusted advisor to senior management and business leaders on workforce planning, hiring decisions, and market insights.</li><li>Build strong cross-functional relationships with HR, Legal, Finance, Risk, Audit, and Investment teams.
</li></ul><p><b>Requirements</b></p><h3 class="jobSectionHeader"><b>
Education &amp; Qualifications</b></h3><p></p><ul><li><br>
Bachelor&rsquo;s degree in Human Resources, Business Administration, or related field.</li><li>Master&rsquo;s degree or professional certifications (CIPD, SHRM, ATD) preferred.</li></ul><h3 class="jobSectionHeader"><b>
Experience Requirements</b></h3><p></p><ul><li><br>
<b>8-12 years </b>of progressive experience in Talent Acquisition, with at least<b> 3 years in a managerial role.</b></li><li>Solid experience of recruitment for indirect and direct investment professionals in a regulated environment as well as corporate functions for financial services organisations.
</li><li>Experience predominantly gained in-house ideally in a Sovereign Wealth Fund, investment / asset management company, investment bank.
</li><li>UAE inhouse experience</li><li>Experience using <b>AI, automation, and data analytics</b> in recruitment.</li><li>Strong track record managing Emiratization programs.</li></ul></div>

Talent Acquisition Manager (UAEN)

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p><b>
Principal Automation Specialist</b></p><p><b>
Abu Dhabi, UAE</b></p><p></p><p>
Parsons is seeking a Principal Automation Specialist to lead and actively contribute to the regional automation practice within Engineering Digital Transformation (EDT). In this role, you will define strategy, build high-impact automation tools, and oversee a scalable automation portfolio supporting Autodesk Revit, Civil 3D, AutoCAD, ArcGIS, and other AEC design platforms.</p><p></p><p>
This position requires a deep understanding of engineering workflows, automation architecture, and digital delivery, along with the ability to translate complex roadway and infrastructure requirements into robust, maintainable automation solutions. The ideal candidate combines hands-on technical expertise, leadership, applied AI capability, and product mindset to deliver automation that improves productivity, quality, consistency, and decision-making at enterprise scale.</p><p></p><p>
What You'll Be Doing:</p><ul><li><p>
Lead and manage the regional automation practice, including strategy, standards, governance, and portfolio planning</p></li><li><p>
Provide hands-on technical leadership, contributing directly to the design and development of high-value automation tools</p></li><li><p>
Lead and mentor a distributed team of automation specialists across multiple engineering centers</p></li><li><p>
Serve as the primary technical interface between EDT, engineering teams, and business stakeholders Partner with engineering teams to identify, prioritize, and deliver automation opportunities aligned with measurable business value</p></li><li><p>
Drive automation portfolio rationalization to ensure long-term sustainability</p></li><li><p>
Define and review software requirements specifications, ensuring alignment with engineering and business needs &bull; Own prioritization, planning, delivery, and lifecycle management of automation initiatives &bull; Lead the development, testing, deployment, and maintenance of automation tools for Revit, Civil 3D, and related platforms</p></li><li><p>
Conduct code reviews, ensuring quality, maintainability, performance, and adherence to coding and UI/UX standards &bull; Establish and enforce automation standards (coding, documentation, UI/UX, versioning, release management, lifecycle)</p></li><li><p>
Maintain and modernize existing automation tools to improve efficiency, reliability, and scalability</p></li><li><p>
Support implementation of a central Git-based code repository and structured release workflows</p></li><li><p>
Contribute to building an Automation Marketplace / Hub to improve tool discoverability, reuse, and trust Develop and integrate AI-enabled workflows into automation solutions (e.g., AI-assisted data extraction, design validation, classification, prediction, or summarization)</p></li><li><p>
Identify and prototype practical AI/ML use cases that enhance engineering productivity and decision-making</p></li><li><p>
Ensure AI workflows are governed, explainable, secure, and appropriate for production engineering environments</p></li><li><p>
Evaluate, deploy, and govern AI coding assistants to improve developer productivity, code quality, and delivery speed</p></li><li><p>
Generate technical reports, KPI dashboards, and automation portfolio performance metrics</p></li><li><p>
Prepare and present technical updates, roadmaps, and business value reports to senior leadership</p></li><li><p>
Stay current with advancements in Autodesk platforms, automation technologies, and applied AI in AE</p></li></ul><p></p><p>
What You'll Bring:</p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related discipline</p></li><li><p>
10+ years of experience in automation, software development, or systems engineering</p></li><li><p>
5+ years of experience leading or mentoring technical teams</p></li><li><p>
Extensive experience developing .NET/C# automation solutions using Autodesk APIs (Revit, Civil 3D, AutoCAD)</p></li><li><p>
Strong programming skills in C#, Python, AutoLISP, and scripting languages</p></li><li><p>
5+ years of hands-on experience with Autodesk Revit and Civil 3D</p></li><li><p>
Deep understanding of roadway, infrastructure, and multidisciplinary engineering workflows</p></li><li><p>
Strong knowledge of BIM principles, data standards, and digital delivery practices</p></li><li><p>
Experience working with RDBMS / MSSQL and data-driven architectures &bull; Experience with Git-based version control, release management, and structured development workflows</p></li><li><p>
Proven ability to design scalable, maintainable automation architectures &bull; Experience applying AI/ML or intelligent automation in engineering, design, or data workflows Experience using AI coding assistants (e.g., for code generation, refactoring, documentation, or review) with appropriate governance and quality controls</p></li><li><p>
Understanding of security, privacy, IP, and compliance considerations related to AI-assisted development</p></li><li><p>
Strong background in system analysis, solution design, and technical documentation</p></li><li><p>
Demonstrated ability to lead, coach, and scale technical teams &bull; Excellent problem-solving, analytical, and decision-making skills</p></li><li><p>
Strong communication skills, with the ability to engage technical and non-technical stakeholders</p></li><li><p>
Experience working in large AEC organizations or enterprise engineering environments preferred</p></li><li><p>
PMP or equivalent certification is desirable</p></li></ul><p></p>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.<p></p><p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!</p><p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Principal Automation Specialist (Digital Engineering Developer)

viewsoft

<div><div><div><p>Location: Abu Dhabi, United Arab Emirates</p></div></div><div><div><p>
Clearance Required: Top Secret (active)</p></div></div></div>
<br><div><div><p>We are seeking a highly skilled and experienced Senior Data Scientist to join our team in Abu Dhabi, UAE. In this role, you will lead data-driven initiatives to provide actionable insights and support mission-critical operations. Working in a dynamic, fast-paced environment, you will apply advanced analytics, machine learning, and AI techniques to solve complex challenges within the defense and security sectors.</p><p><b>
Key Responsibilities:</b></p><ul><li>
Lead the design, development, and implementation of advanced data models, algorithms, and machine learning solutions to support strategic objectives.</li><li>
Analyze large datasets to identify trends, patterns, and insights to drive decision-making.<br>
Collaborate with cross-functional teams, including engineers, analysts, and stakeholders, to define and solve high-priority problems.</li><li>
Develop and optimize predictive models, natural language processing (NLP) algorithms, and other machine learning frameworks.</li><li>
Perform data wrangling, cleaning, and preprocessing to ensure the highest quality data for analysis.</li><li>
Communicate complex technical findings to non-technical stakeholders, providing clear, actionable insights.</li><li>
Maintain and develop best practices for data science workflows and tools.</li><li>
Mentor junior data scientists and provide leadership on advanced analytics techniques.</li></ul><p></p><p><b><br>
Qualifications:</b></p><p>
Required:</p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Data Science, or a related field (Master&rsquo;s or PhD preferred).</li><li>
8+ years of experience in data science, machine learning, or a related field.</li><li>
Strong expertise in statistical modeling, data mining, and machine learning algorithms.</li><li>
Proficiency in programming languages such as Python, R, and SQL.</li><li>
Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).</li><li>
Expertise in big data technologies and platforms (e.g., Hadoop, Spark, AWS, Azure).</li><li>
Experience working with complex datasets, including unstructured data (text, images, etc.).</li><li>
Excellent problem-solving and analytical skills.<br>
Strong verbal and written communication skills, with the ability to present complex findings to senior leadership.</li><li>
Active Top Secret security clearance required</li></ul><p></p><p><br>
Preferred:</p><ul><li>
Experience with defense, intelligence, or security-related projects.</li><li>
Familiarity with cloud-based platforms and distributed computing environments.</li><li>
Advanced certifications or training in machine learning, AI, or data science.</li><li>
Experience working in an Agile environment or leading teams in collaborative settings.</li></ul></div></div>

Senior Data Scientist

10Pearls

<div><p>Company Overview</p><p>
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.</p><p>
Role</p><p>
As an AI Architect in the oil and gas sector, you will design, implement, and oversee AI systems that enhance operational efficiency, optimize production, and drive innovation. Your role focuses on defining the architecture for AI and machine learning solutions, ensuring scalability, reliability, and alignment with business objectives.</p><p>
Responsibilities</p><ul><li><p>
Define the AI strategy and architecture to address business needs across exploration, production, and operational domains.</p></li><li><p>
Develop roadmaps for integrating AI into existing systems, focusing on scalability and long-term sustainability.</p></li><li><p>
Identify and prioritize AI use cases, such as predictive maintenance, reservoir modelling, and supply chain optimization.</p></li><li><p>
Design end-to-end architectures for machine learning pipelines, including data ingestion, model development, training, and deployment.</p></li><li><p>
Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models.</p></li><li><p>
Implement AI explainability frameworks such as SHAP, LIME, and Explainable AI (XAI) to enhance transparency.</p></li><li><p>
Develop human-in-the-loop (HITL) AI systems for critical decision support in exploration and production.</p></li><li><p>
Design AI models with bias detection and fairness auditing mechanisms.</p></li><li><p>
Automate cloud-based AI model provisioning using infrastructure as code (IaC) principles.</p></li><li><p>
Select appropriate frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn) for AI development.</p></li><li><p>
Build scalable solutions using cloud platforms like AWS, Azure, or Google Cloud, leveraging tools such as Kubernetes and Docker for containerization.</p></li><li><p>
Establish data standards, pipelines, and governance policies to ensure high-quality input for AI models.</p></li><li><p>
Implement monitoring systems to track performance, retrain models as necessary, and maintain accuracy over time.</p></li><li><p>
Develop strategies to address bias, fairness, and ethical considerations in AI systems.</p></li><li><p>
Design AI solutions that integrate seamlessly with existing oil and gas technologies, such as SCADA systems, IoT sensors, and geophysical modelling tools.</p></li><li><p>
Develop AI models tailored to specific oil and gas applications, such as seismic data analysis, drilling optimisation, and production forecasting.</p></li><li><p>
Enable real-time analytics and decision support through edge computing and AI-enabled IoT systems.</p></li><li><p>
Stay current with the latest advancements in AI and recommend technologies that align with business objectives.</p></li><li><p>
Collaborate with data scientists, engineers, and business leaders to align technical solutions with operational goals.</p></li><li><p>
Guide teams in best practices for AI development, deployment, and maintenance.</p></li><li><p>
Ensure all AI systems comply with industry regulations and data privacy standards.</p></li><li><p>
Implement robust cybersecurity measures to protect sensitive data and AI systems from threats.</p></li><li><p>
Document architectures, workflows, and operational guidelines for transparency and compliance audits.</p></li></ul><p>
Requirements</p><ul><li><p>
Knowledge of deep learning, natural language processing, computer vision, and reinforcement learning techniques.</p></li><li><p>
Expertise in AWS, Azure, or Google Cloud for deploying AI solutions.</p></li><li><p>
Strong ability to work with multidisciplinary teams, including engineers, data scientists, and business stakeholders.</p></li><li><p>
Excellent ability to translate complex technical concepts into actionable business strategies.</p></li><li><p>
Design AI solutions to reduce downtime, optimise drilling accuracy, and improve production yields.</p></li><li><p>
Leverage tools such as Kubeflow, MLflow, and SageMaker Pipelines for end-to-end ML lifecycle management.</p></li><li><p>
Implement predictive analytics to prevent equipment failures and optimise resource allocation.</p></li><li><p>
Enable advanced applications like digital twins, automated geophysical analysis, and AI-driven reservoir modelling.</p></li><li><p>
Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).</p></li><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).</p></li><li><p>
8+ years of experience in AI/ML development, with at least 3 years in an architecture or leadership role.</p></li><li><p>
Strong understanding of oil and gas industry workflows and challenges.</p></li><li><p>
Expertise in AI/ML frameworks and big data technologies.</p></li><li><p>
Practical experience with a statistical programming language (e.g., Python, R) and applied machine learning techniques for AI model development.</p></li></ul><p></p><p>
</p><p>EH8cPOOutM</p></div>

AI Architect

Shield AI

<div><div><div>Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI&rsquo;s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.</div><div></div><div><br>
Shield AI&rsquo;s International Business &amp; Strategy team is hiring a Middle East regional Director to accelerate growth and support the adoption of its autonomy ecosystem: X-BAT, V-BAT, ViDAR, and Hivemind across the region.</div><div></div><div><br>
The Director of Business Development will lead Shield AI&rsquo;s Middle East growth strategy, building out a team that is responsible for significant annual orders targets. The Director must have deep defense, national security, or aerospace experience in the region (strong preference for Arabic language fluency), established government relationships, and a track record of closing complex defense programs (ideally across both hardware and software).</div><div></div><div><br>
You will operate with significant autonomy and ownership, shaping region wide and country-level strategies, leading major pursuits, and building long-term defense partnerships. You will report to the Senior Director of International Business &amp; Strategy (Middle East &amp; Asia Pacific) and work closely with international business development colleagues around the globe, as well as product, engineering, and operations teams, to deliver mission-relevant autonomy capabilities at scale.</div></div>
<div><div><h3 class="jobSectionHeader"><b>WHAT YOU'LL DO:</b></h3><ul><li><ul><li>
Own and execute Middle East go-to-market strategy (excluding KSA) for Shield AI&rsquo;s product portfolio, including X-BAT, V-BAT, ViDAR, and Hivemind.</li><li>
Maintain direct responsibility for annual order targets, multi-year pipeline development, and order growth.</li><li>
Lead end-to-end capture and sales efforts from early engagement through contract award and follow-on growth.</li><li>
Engage directly with senior military, government, and defense industry stakeholders across the region.</li><li>
Differentiate Shield AI in competitive and regulated defense procurements.</li><li>
Provide actionable market and customer intellig</li><li>
ence to influence product roadmap and broader international strategy.</li><li>
Work cross-functionally with product, legal, export compliance, and operations.</li><li>
Lead proposal/program development and complex product demonstrations.</li><li>
Structure and manage local partnerships, primes, and industrial participation or offset strategies.</li><li>
Represent Shield AI at senior-level engagements, exhibitions, and industry forums.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>REQUIRED QUALIFICATIONS:</b></h3><ul><li><ul><li>
10+ years business development experience across the Middle East region within defense, aerospace, or national security.</li><li>
Specific prior defense or government-facing experience in the Middle East with a deep understanding of regional procurement processes, offset requirements, export sensitivities, local defense primes, and indigenization requirements.</li><li>
Fluency in English (written and spoken). Fluency in Arabic strongly preferred.</li><li>
Demonstrated success closing complex defense or government programs - ideally across both hardware (aircraft/UAS) and software (autonomy/ai).</li><li>
Technical experience with autonomy, UAVs, ISR, and advanced sensing technologies.</li><li>
Strong negotiation, relationship-building, and stakeholder management skills.</li><li>
Ability to manage multiple concurrent pursuits, across multiple markets, involving technical products, in ambiguous environments.</li><li>
Proven cross-functional leadership across operations, product, and BD teams.</li><li>
Exceptional written, verbal, and presentation skills.</li><li>
Willingness and ability to travel frequently in region and internationally (~25%).</li><li>
Willingness and ability to work across multiple time zones (e.g. US HQ, Asia based colleagues, Middle East partners)</li><li>
Based in or willing to relocate to the Middle East (Abu Dhabi, United Arab Emirates).</li><li>
Mastery of critical business tools (Microsoft Suite &ndash; PPT, Excel, Word, LLMs, etc.)</li><li>
Experience forecasting, tracking, and managing deal cycles using Salesforce.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>PREFERRED QUALIFICATIONS:</b></h3><ul><li><ul><li>
U.S. Citizen (or dual national)</li><li>
Existing U.S. or allied security clearance.</li><li>
Currently based in region.</li><li>
Prior military service or operational leadership experience in the Middle East
</li><li>(++ if directly related to UAS, autonomy, or fighter jet aircraft).</li><li>
Prior experience supporting foreign military sales (via DSCA), engaging with SAF/IA, or working directly with foreign air forces.</li><li>
Direct experience with UAV operations, mission autonomy, AI-enabled C2 systems.</li></ul></li></ul></div></div><div><div><br>
</div><div>
Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.</div></div>
<div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</div></div></div>

Director of Business Development, Middle East

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