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ai engineer asset management

<div>Title:
Digitalization and Artificial Intelligence Engineer
Belong, Connect, Grow, with KBR!
The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.
KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.
We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor&rsquo;s office for an Offshore client.
Job Title: Digitalization and Artificial Intelligence Engineer
Location: Madrid, Spain 
Project: LZ LTDP-1 
Department: Engineering / Digital Transformation 
Reports To: Project Manager<div></div>
Job Description:
Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.
Key Responsibilities:
Design &amp; Engineering<ul><li>
Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.</li><li>
Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.</li><li>
Identify and select appropriate digital and AI technologies for implementation.</li></ul>
Integration &amp; Implementation<ul><li>
Define and implement integration strategies with existing ADNOC systems such as Panorama.</li><li>
Ensure seamless integration of various digital solutions into a common user-friendly platform.</li><li>
Design plant facilities to accommodate selected digital and AI technologies.</li></ul>
Infrastructure &amp; Compliance<ul><li>
Identify required IT infrastructure and ensure compliance with:<ul><li>
Wireless Infrastructure (AGES-SP-12-003)</li><li>
Wireless Instrumentation System (AGES-SP-04-019)</li></ul></li><li>
Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD).</li></ul>
Execution &amp; Commissioning<ul><li>
Oversee procurement, installation, testing, and commissioning of digital and AI solutions.</li><li>
Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.</li></ul>
Technology &amp; Innovation<ul><li>
Promote adoption of edge computing and autonomous operation programs.</li><li>
Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.</li><li>
Integrate drones and robotics as part of the digitalization scope.</li></ul>
Guidelines &amp; Standards<ul><li>
Ensure adherence to ADNOC&rsquo;s AI P5 Guidelines and instrumentation standards:<ul><li>
Wells &amp; Surface Facilities Instrumentation</li><li>
Real-time Data Mapping</li><li>
Domain Data Requirements</li><li>
Collaborative Working Environment</li><li>
Change Management &amp; Communication</li><li>
Telecommunication Infrastructure</li></ul></li></ul><div></div>
Qualifications &amp; Experience:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Engineering, Computer Science, or related field.</li><li>
Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil &amp; gas or industrial sectors.</li><li>
Proven experience in EPC project environments and multi-disciplinary coordination.</li><li>
Strong knowledge of industrial automation, edge computing, and AI platforms.</li><li>
Familiarity with ADNOC systems and standards is highly desirable.</li></ul><div></div>
Skills &amp; Competencies:<ul><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and documentation abilities.</li><li>
Project management and scheduling expertise.</li><li>
Ability to work collaboratively across disciplines and with subcontractors.</li><li>
Cybersecurity awareness and data governance understanding.</li></ul></div>

Digitalization and Artificial Intelligence Engineer

Acenet consulting

<div><div>Experience: 10 to 15 years
 
Location: Abu Dhabi
 
Job code: 101384
 
Posted on: Dec 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring. 
 
Job Summary: 
We are looking for an AI Solutions Lead to support our ongoing critical project activities. The ideal candidate is responsible for lead the architecture, design, and end-to-end delivery of complex AI/ML solutions and translate business requirements into scalable and secure AI system architectures.
<div>Key Responsibilities: 
<ul><li>Lead the architecture, design, and end-to-end delivery of complex AI/ML solutions.</li><li>Define and implement AI strategy in alignment with enterprise goals and digital transformation initiatives.</li><li>Translate business requirements into scalable and secure AI system architectures.</li><li>Oversee the development and deployment of AI/ML models in production environments.</li><li>Guide data scientists, engineers, and developers in adopting AI best practices and technologies.</li><li>Drive MLOps and AI lifecycle automation including model training, versioning, testing, deployment, and monitoring.</li><li>Design AI solutions integrated with enterprise platforms (Microsoft, Salesforce, ERP, CRM, data lakes, APIs).</li><li>Ensure responsible AI practices, including ethical considerations, bias mitigation, and regulatory compliance.</li><li>Collaborate with C-level stakeholders and business units to assess use cases, prioritize projects, and define success metrics.</li><li>Mentor and lead technical teams; influence architectural decisions across business units.</li></ul></div>
<div>Role Requirements and Qualifications: 
1.AI/ML Expertise: 
<ul><li>Strong knowledge of machine learning, deep learning, NLP, computer vision, and generative AI.</li><li>Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenAI APIs.</li></ul>
2.Architecture &amp; System Design: 
<ul><li>Proven experience in designing scalable and secure cloud-native AI solutions.</li><li>Deep understanding of microservices, APIs, event-driven architectures, and real-time inference systems.</li></ul>
3.MLOps &amp; DevOps: 
<ul><li>Experience with tools like MLflow, Kubeflow, Airflow, SageMaker Pipelines, Vertex AI Pipelines.</li><li>Knowledge of CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).</li></ul>
4.Data &amp; Integration: 
<ul><li>Familiarity with data engineering tools (Spark, Kafka), data lakehouses (Delta Lake, Snowflake), and ETL pipelines.</li><li>Ability to integrate AI with enterprise platforms and legacy systems via RESTful APIs or middleware.</li><li>Strong leadership experience managing multidisciplinary AI/ML teams.</li><li>Ability to drive architecture governance, code quality, and technical standards.</li><li>Excellent communication and presentation skills to influence technical and non-technical stakeholders.</li><li>Strategic thinker with a passion for AI innovation and enterprise transformation.</li></ul>
 
Preferred Experience: 
<ul><li>10+ years of experience in software or data architecture roles, with 4&ndash;5 years focused on AI/ML.</li><li>Track record of delivering AI projects at scale in one or more of the following domains: financial services, healthcare, government, telecom, or retail.</li><li>Familiarity with regulatory frameworks for data and AI (e.g., GDPR, HIPAA, ISO 42001).</li><li>Preferred Certifications:</li><li>AWS Certified Machine Learning &ndash; Specialty</li><li>Microsoft Azure AI Engineer Associate</li><li>Google Professional Machine Learning Engineer</li><li>TOGAF or other architecture frameworks (optional but valuable)</li><li>Responsible AI or ethical AI certifications (optional)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

AI Solutions Lead

Penspen

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Executing integrity (FFS / RBI) assessments under the supervision of Senior Asset Integrity Engineer.
 </li>
 <li>
 Executing plant / pressurised static assets integrity (FFS / RBI) assessments under the supervision of Senior Asset Integrity Engineer.
 </li>
 <li>
 Should be able to produce detailed calculations as and when required.
 </li>
 <li>
 Producing high quality deliverables as part of the project.
 </li>
 <li>
 Quality, Health &amp; Safety and Environmental Management System must be implemented within the area of operation as per the company approved procedures and ISO Standards.
 
 
 </li>
 </ul>
 
 Knowledge / Experience (Skills)
 
 
 
 <ul>
 <li>
 Knowledge of RBI relevant codes and standards (API 580, API 581)
 </li>
 <li>
 Knowledge of FFS relevant codes and standards (such as API 579, ASME B31G etc.)
 </li>
 <li>
 Understanding of the assignment of consequences of failure and probability of failure
 </li>
 <li>
 Development and preparation of inspection plans for static equipment classes
 </li>
 <li>
 Hands on experience of fully quantitative RBI industry software packages (Meridium, E2G etc..)
 </li>
 <li>
 High level of computer literacy with MS Office (specifically Word &amp; Excel) and experience of other specific analysis software packages (e.g. MathCAD, Abaqus, Caesar, Autopipe etc.)
 </li>
 <li>
 Good communication skills in English, verbal and written
 </li>
 <li>
 Previous Middle East Client facing role (e.g. ADNOC, Aramco) is preferred
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Minimum 3 years of asset integrity assessment, RBI and management experience in the Oil and Gas
 </li>
 <li>
 API 580 certification
 </li>
 <li>
 Degree in Mechanical engineering or similar
 </li>
 <li>
 NACE accreditation is an advantage.
 </li>
 <li>
 Professional membership with an engineering institute (ImechE, ASME etc.
 </li>
 <li>
 Experience in Meridium Asset Performance Management Software APM by GE is highly desirable
 
 
 </li>
 </ul>
</div>

Junior Integrity Engineer

<div>Title:
AI Engineer (PMC) &ndash; Project Management Workflow Optimisation
Job Purpose
The AI Engineer will design, develop, and implement AI-driven solutions to optimise project management workflows, enhance operational efficiency, and support strategic decision-making. This role involves leveraging machine learning, automation, and predictive analytics to streamline processes across planning, execution, and monitoring phases of projects.<div></div>
Key Responsibilities<ul><li>
Workflow Automation &amp; Optimisation<ul><li>
Analyse existing project management processes to identify inefficiencies and automation opportunities.</li><li>
Develop AI-powered tools for scheduling, resource allocation, and risk prediction.</li></ul></li><li>
AI Model Development<ul><li>
Design, train, and deploy machine learning models for predictive analytics (e.g., cost forecasting, delay risk assessment).</li><li>
Implement Generative AI solutions for document summarisation, reporting, and stakeholder communication.</li><li>
Implement Generative AI solutions for document review</li></ul></li><li>
Integration &amp; Implementation<ul><li>
Integrate AI systems with existing platforms ensuring seamless data flow.</li><li>
Develop APIs and automation scripts for interoperability across project management tools.</li></ul></li><li>
Data Management &amp; Analysis<ul><li>
Collect, clean, and analyse large datasets from project operations.</li><li>
Build dashboards for real-time insights into project health, KPIs, and resource utilisation.</li></ul></li><li>
Collaboration &amp; Training<ul><li>
Work closely with project engineers, planners, and IT teams to align AI solutions with business needs.</li><li>
Conduct workshops and training sessions on AI tools for project teams.</li></ul></li></ul><div></div>
Required Skills &amp; Qualifications<ul><li>
Technical Expertise<ul><li>
Strong programming skills (Python, R, or similar).</li><li>
Experience with AI/ML frameworks (TensorFlow, PyTorch) and LLMs (GPT, LangChain).</li><li>
Knowledge of MLOps tools (MLflow, Docker) for model lifecycle management.</li></ul></li><li>
Domain Knowledge<ul><li>
Understanding of project management principles and EPC workflows.</li><li>
Familiarity with Oil &amp; Gas industry standards and compliance requirements.</li></ul></li><li>
Soft Skills<ul><li>
Excellent problem-solving and analytical skills.</li><li>
Strong communication and stakeholder management abilities.</li></ul></li></ul><div></div>
Experience Requirements<ul><li>
Minimum 3&ndash;5 years in AI engineering or data science roles, preferably in industrial or project environments.</li><li>
Proven track record of deploying AI solutions that improved operational efficiency.</li></ul><div></div>
Desirable Competencies<ul><li>
Strong understanding of project management methodologies (e.g., Agile, PMI, EPC workflows).</li><li>
Experience in AI-driven project scheduling and resource optimisation.</li><li>
Ability to design risk prediction models for cost overruns and delays.</li><li>
Familiarity with workflow automation tools and integration with project management platforms (MS Project, Primavera, SAP PM).</li><li>
Knowledge of data-driven decision-making and KPI dashboards for project performance monitoring</li><li>
Experience with cloud platforms (AWS, Azure) for scalable AI deployment.</li></ul></div>

AI Engineer (PMC) – Project Management Workflow Optimisation

CT Corporate Services LLC

<div>
 
 
 Tech Operations &amp; IT Support Engineer
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 We are seeking a Tech Operations &amp; IT Support Engineer to join our team.
 
 
 This role blends application operations (OP) responsibilities with day-to-day IT support. You will manage deployment tickets, perform routine operations tasks, handle basic Kubernetes activities, and support office IT functions such as network setup and asset management.
 
 
 The ideal candidate is reliable, detail-oriented, and able to work closely with the group&rsquo;s IT governance and asset auditing teams.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 ✅
 
 Tech Operations
 
 
 
 <ul>
 <li>
 Handle deployment tickets across multiple environments, ensuring timely and accurate execution.
 </li>
 <li>
 Perform basic Kubernetes operations (checking pods, reviewing logs, restarts, YAML updates as instructed).
 </li>
 <li>
 Assist in application rollouts and post-deployment verification following established procedures.
 </li>
 <li>
 Monitor system health, report irregularities, and escalate issues when needed.
 </li>
 <li>
 Support daily DevOps and operations activities under senior engineers&rsquo; guidance.
 </li>
 </ul>
 
 
 
 
 
 ✅
 
 IT Support
 
 
 
 <ul>
 <li>
 Provide office IT support including workstation setup, software installation, and troubleshooting.
 </li>
 <li>
 Support office network configuration (LAN, Wi-Fi, printers, and basic switch/router tasks).
 </li>
 <li>
 Manage and maintain company IT assets: laptops, monitors, peripherals, and inventory records.
 </li>
 <li>
 Coordinate with the group&rsquo;s IT governance team for asset audits and compliance checks.
 </li>
 <li>
 Document and track all equipment, user allocations, and related IT activities.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Basic Linux command-line knowledge and troubleshooting ability.
 </li>
 <li>
 Familiarity with Kubernetes fundamentals (pods, deployments, logs, services).
 </li>
 <li>
 Basic understanding of networking (IP, subnet, DNS, DHCP, Wi-Fi, printers).
 </li>
 <li>
 Experience with IT support tasks such as device setup, OS installation, and software configuration.
 </li>
 <li>
 Ability to follow deployment workflows and standard operating procedures.
 </li>
 <li>
 Strong communication skills and accountability in daily operations.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Prior experience in IT support, helpdesk, NOC, or junior operations roles.
 </li>
 <li>
 Basic scripting skills (Shell/Python).
 </li>
 <li>
 Understanding of cloud platforms (AWS, Azure).
 </li>
 <li>
 Ability to work effectively in a ticket-driven environment and multitask.
 </li>
 </ul>
 
 
</div>

Tech Operations & IT Support Engineer

D4 Insight

<div>Position: Senior Cloud DevOps Engineer &ndash; Azure &amp; AI Solutions 
Location: Abu Dhabi
<h3 class="jobSectionHeader">
Role Overview</h3>

We are seeking a highly skilled Senior Cloud DevOps Engineer with strong expertise in Azure and AI platforms to design, deploy, and manage scalable cloud and MLOps solutions. This role will drive automation, governance, security, and end-to-end AI infrastructure delivery.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul>
<li>Architect and deploy scalable AI and cloud platforms using Azure VMs, AKS, and Azure Functions
</li>
<li>Administer Azure Subscriptions and Resource Groups with strong governance using Azure Policy, Blueprints, and RBAC
</li>
<li>Automate infrastructure using Terraform through reusable modules, secure state management, and CI/CD integration
</li>
<li>Implement secure networking using Azure Firewall, VNets, NSGs, and Private Endpoints
</li>
<li>Monitor and optimize cloud resources using Azure Advisor, Cost Management, and AWS CloudWatch for hybrid setups
</li>
<li>Deploy and manage ML models using Azure Machine Learning, MLflow, and Azure ML Endpoints
</li>
<li>Build and operate robust MLOps pipelines using Azure DevOps, GitHub Actions, and Terraform
</li>
<li>Containerize and deploy models using AKS, ACI, and optionally Amazon SageMaker
</li>
<li>Track model performance and data drift using Azure Monitor, Application Insights, and Log Analytics
</li>
<li>Integrate Azure Cognitive Services, Azure OpenAI, and optionally AWS Rekognition or Comprehend
</li>
<li>Apply Generative AI engineering principles to build scalable and modular AI solutions
</li>
<li>Collaborate closely with AI, Data Science, UI/UX, and engineering teams for end-to-end delivery
</li>
<li>Create documentation standards and reusable templates for AI and infrastructure projects
</li>
<li>Apply DevOps best practices using Docker, CI/CD pipelines, and Infrastructure as Code
</li>
<li>Ensure compliance with enterprise policies, security standards, and service guidelines
</li>
</ul><h3 class="jobSectionHeader">Ideal Candidate Profile</h3>
<ul>
<li>5+ years of hands-on experience in Azure-based cloud and AI solution delivery
</li>
<li>Strong expertise in Terraform, including module development, remote state management, and CI/CD integration
</li>
<li>Proven experience in cloud infrastructure, MLOps, containerization, and DevOps automation
</li>
<li>Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, or related field (Master&rsquo;s preferred)
</li>
<li>Azure certifications such as AZ-104, AZ-305, or DP-100 are a strong advantage
</li>
<li>Exposure to both Azure and AWS environments
</li>
<li>Strong skills in data preparation, feature engineering, and large-scale dataset handling
</li>
<li>Ability to convert technical insights into clear business value
</li>
<li>Experience working cross-functionally with engineering, product, and business teams
</li>
</ul> Interested candidates can share their resume at: [email protected]</div>

Senior Cloud DevOps Engineer – Azure & AI Solutions

Binance

<div><div>Binance is a leading global blockchain ecosystem behind the world&rsquo;s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.</div><div></div><div> 
About Binance Accelerator Program</div><div>
Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds&rsquo; leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE</div><div>
</div><div>
Who may apply</div><div>
 Current university students and recent graduates</div>
<h3 class="jobSectionHeader">Responsibilities</h3><ul><li>
Security Policies Management - Documenting and updating security policies to improve security posture and regulatory compliance.</li><li>
Audit Evidence Inventory - Creation, maintenance, and optimization of the inventory to facilitate and smoothen security project workflows.</li><li>
Security Awareness Training Program - Raise the Company&rsquo;s security awareness through collaborating with security teams and business teams through designing content, distributing training, and facilitating sharing sessions.</li><li>
Regulation Research - Assist in collecting, organizing, and consolidating cybersecurity laws and regulations related to the digital asset industry.</li><li>
Security Project Support - Participate and contribute to security projects that raises the maturity of the Company&rsquo;s security.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
Strong analytical skills with a hardcore achievement focused mentality.</li><li>
Students or Graduates from Cyber Security, Information Technology, Management Information Systems, or Computer Science degrees are prioritized.</li><li>
Familiar with regulatory requirements such as EU GDPR, DORA, and other relevant data protection, cyber security and operational resilience frameworks.</li><li>
Experience with new technologies (e.g. blockchain, AI) is preferred.</li><li>
Passion for cryptocurrency, digital asset &amp; web3 is preferred.</li><li>
Having one of below security or privacy qualification is a plus - CISSP, CISM, CISA, CEH, SANS, CCSP, ISO 27001 Lead Auditor, IAPP CIPP / CIPM / CIPT</li></ul><div>
Why Binance</div><ul><li>Shape the future with the world&rsquo;s leading blockchain ecosystem</li><li>Collaborate with world-class talent in a user-centric global organization with a flat structure</li><li>Tackle unique, fast-paced projects with autonomy in an innovative environment</li><li>Thrive in a results-driven workplace with opportunities for career growth and continuous learning</li><li>Competitive salary and company benefits</li><li>Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)</li></ul><div></div><div> 
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.</div><div>
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.</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>

Binance Accelerator Program - Security Governance

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