mechanical engineer

ai engineer

planning engineer

mep engineer

qa/qc engineer

ai ml process engineer

Yokogawa

<div>
 
 Not just a job, but a career
 
 
 
 Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
 
 
 Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
 
 
 
 About The Team
 
 
 
 Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
 
 
 
 Job Purpose
 
 
 
 The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.
 
 
 
 Key Responsibilities &amp; Accountabilities
 
 
 
 <ul>
 <li>
 Technical Analysis &amp; Solution Support
 </li>
 <li>
 Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.
 </li>
 <li>
 Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.
 </li>
 <li>
 Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.
 </li>
 <li>
 Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.
 </li>
 <li>
 Business Case &amp; Application Support
 </li>
 <li>
 Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.
 </li>
 <li>
 Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.
 </li>
 <li>
 Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.
 </li>
 <li>
 Client Engagement &amp; Relationship Management
 </li>
 <li>
 Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.
 </li>
 <li>
 Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.
 </li>
 <li>
 Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).
 </li>
 <li>
 Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.
 </li>
 <li>
 Project Delivery &amp; Quality Assurance
 </li>
 <li>
 Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.
 </li>
 <li>
 Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
 </li>
 <li>
 Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.
 </li>
 <li>
 Participate actively as a member of technical project teams, building and maintaining effective working relationships.
 </li>
 <li>
 Knowledge Sharing, Training &amp; Enablement
 </li>
 <li>
 Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.
 </li>
 <li>
 Sales Collaboration &amp; Growth
 </li>
 <li>
 Work with sales personnel to help position solutions and support opportunity development.
 
 
 </li>
 </ul>
 
 Qualification And Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred, with a minimum of 7-10 years of industrial process experience in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).
 </li>
 <li>
 Some hands-on experience with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.
 </li>
 <li>
 Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.
 </li>
 <li>
 Strong problem-solving skills with an emphasis on solution development.
 </li>
 <li>
 Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).
 </li>
 <li>
 Willing and able to travel throughout the YMA region and globally as required.
 
 
 </li>
 </ul>
 
 Competencies &amp; Skills
 
 
 
 <ul>
 <li>
 Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.
 </li>
 <li>
 Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.
 </li>
 <li>
 Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.
 </li>
 <li>
 Strong knowledge of IIoT integration concepts and architectures.
 </li>
 <li>
 Up-to-date awareness of the latest AI and Digital Twin market trends.
 </li>
 <li>
 Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.
 </li>
 <li>
 Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.
 </li>
 <li>
 Strong problem-solving orientation with a focus on practical solution development.
 
 
 </li>
 </ul>
 &ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
 
 
 Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
 
 
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 
 
 about our Employee Referral process!
</div>

AI/ML Process Engineer

<div>Not just a job, but a career
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About the Team 
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Job Purpose
The AI/ML Process Engineer supports the design and delivery of AI/ML-based process solutions and contributes to AI-driven operational improvement across Oil &amp; Gas, Petrochemical, and other process-industry domains. Working under the guidance of senior consultants, the role combines a solid process-operations foundation with growing AI/ML capability to help translate operational problem statements into practical, well-documented solutions. The role contributes to solution development, hands-on implementation, and pilot delivery, and supports the Digital Enterprise Business Unit / Solution Division in building capabilities and supporting growth across the YMA region.
Key Responsibilities &amp; Accountabilities
1. Technical Analysis &amp; Solution Support<ul><li>
Support technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to help identify opportunities for resolving customers' process problems.</li><li>
Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.</li><li>
Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.</li></ul>
2. Business Case &amp; Application Support<ul><li>
Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.</li><li>
Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.</li><li>
Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.</li></ul>
3. Client Engagement &amp; Relationship Management<ul><li>
Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.</li><li>
Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul>
4. Project Delivery &amp; Quality Assurance<ul><li>
Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.</li><li>
Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul>
5. Knowledge Sharing, Training &amp; Enablement<ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul>
6. Sales Collaboration &amp; Growth<ul><li>
Work with sales personnel to help position solutions and support opportunity development.</li></ul>
Qualification and Experience:<ul><li>
Bachelor&rsquo;s or master&rsquo;s in chemical engineering (or a related engineering discipline) preferred, with a minimum of 7-10 years of industrial process experience in process operations, engineering, or related software/automation work (APC/RTO exposure an advantage).</li><li>
Some hands-on experience with AI/ML applications in an industrial setting (as part of the experience above); a willingness to deepen AI/ML skills on the job is essential, and exposure to AI for process control is an advantage.</li><li>
Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.</li><li>
Strong problem-solving skills with an emphasis on solution development.</li><li>
Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).</li><li>
Willing and able to travel throughout the YMA region and globally as required.</li></ul>
Competencies &amp; Skills
<ul><li>Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
Are you being referred to one of our roles? If so, ask your connection at Yokogawa 
about our Employee Referral process!</div>

<div>Not just a job, but a career
Yokogawa, award winner for &lsquo;Best Asset Monitoring Technology&rsquo; and &lsquo;Best Digital Twin Technology&rsquo; at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About the Team 
Our 18,000 employees work in over 60 countries with one corporate mission, to &quot;co-innovate tomorrow&quot;. We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Job Purpose
The Senior AI Process Consultant is responsible for architecting AI/ML-based process solutions and leading AI-driven operational transformation across Oil &amp; Gas, Petrochemical, and other process-industry domains. Bridging deep process-operations credibility with modern AI, architecture governance, and commercial value thinking, the role owns AI/ML business outcomes, solution architecture, and implementation strategy; translating operational problem statements into scalable, auditable solutions and guiding pilot-to-scale adoption. The role collaborates with and supports the Digital Enterprise Business Unit / Solution Division to build differentiated capabilities and accelerate growth across the YMA region.
Key Responsibilities &amp; Accountabilities
1. Technical Analysis &amp; Solution Architecture<ul><li>
Perform high level technical analysis leveraging AI/ML and Digital Twin technology, including data gathering and gap analysis, to identify opportunities for resolving customers' process problems.</li><li>
Define solution architectures and develop detailed design specifications for complex AI solutions.</li><li>
Define functional requirements through client interviews, documentation analysis, and workflow / process mapping.</li><li>
Provide expert technical judgment to estimate the effort required to implement complex AI solutions.</li></ul>
2. Business Case &amp; Portfolio Development<ul><li>
Identify and develop business cases for focused AI applications and support their implementation and successful proliferation within the assigned process industry / application.</li><li>
Advise customers on suitable AI/ML solutions and provide overall business portfolio management, solution design, and demonstration functions.</li><li>
Own and drive the preparation of Feasibility Study/ Business Case reports to support the customer for FID/Budgeting approvals.</li></ul>
3. Client Engagement &amp; Relationship Management<ul><li>
Engage proactively with customers to understand expectations and ensure they are consistently met through AI/ML solutions.</li><li>
Define the overall technical approach for AI implementation, integrating simulation / Digital Twin and, where applicable, APC/RTO technologies.</li><li>
Develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).</li><li>
Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.</li></ul>
4. Project Delivery &amp; Quality Assurance<ul><li>
Own technical deliverables across the entire lifecycle of solution-development projects.</li><li>
Ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.</li><li>
Ensure AI best-practice approaches, standards, and methods are applied appropriately throughout delivery.</li><li>
Participate actively as a member of technical project teams, building and maintaining effective working relationships.</li></ul>
5. Knowledge Sharing, Training &amp; Enablement<ul><li>
Support Smart Manufacturing / Digital Transformation (SM/DX) training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.</li></ul>
6. Sales Collaboration &amp; Growth<ul><li>
Partner effectively with sales personnel to position solutions, support opportunity development, and secure orders.</li></ul>
Qualification and Experience:<ul><li>
Bachelors or Masters in Chemical Engineering. preferred, with a minimum of 15 years of industrial process experience spanning APC/RTO-related software development, engineering, and business development.</li><li>
Minimum 4 years' experience leading, architecting, or implementing AI/ML applications and AI-driven transformation initiatives in an industrial setting; knowledge of AI for process control is an advantage.</li><li>
Strong foundation in AI/ML methods, the model lifecycle, and best-practice deployment and governance approaches.</li><li>
Strong problem-solving skills with an emphasis on solution development.</li><li>
Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).</li><li>
Willing and able to travel throughout the YMA region and globally as required.</li></ul>
Competencies &amp; Skills
<ul><li>Strong foundation in AI/ML solution design, methodology, and solution / enterprise architecture, including architecture governance (e.g. TOGAF).</li><li>
Strong exposure to Machine Learning technologies, including automated data collection, historian applications (OSI PI a plus), data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling.</li><li>
Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.</li><li>
Strong knowledge of IIoT integration concepts and architectures.</li><li>
Up-to-date awareness of the latest AI and Digital Twin market trends.</li><li>
Knowledge of the Oil &amp; Gas, Petrochemical, or specialty chemicals domains is a plus.</li><li>
Experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.</li><li>
Strong communicator and collaborative team player with the ability to energize and influence others, including senior and executive stakeholders.</li><li>
Strong problem-solving orientation with a focus on practical solution development.</li></ul>
&ldquo;All appointments are subject to the successful completion of applicable background verification checks.&rdquo;
Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
Are you being referred to one of our roles? If so, ask your connection at Yokogawa 
about our Employee Referral process!</div>

Senior AI/ML Process Consultant/Engineer

Atain

<div>
 
 
 Sr. AI Engineer
 
 
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 Full-time
 
 
 
 
 Exp.:
 
 7-8+ Yrs.
 
 
 
 
 
 
 Key Skills:
 
 AI/ML, Azure, Databricks, Airlines Revenue management exp. is required
 
 
 
 
 
 
 Description:
 
 
 
 We are seeking an AI Engineer with strong experience in
 
 Azure Databricks
 
 and
 
 Airlines Revenue Management
 
 domain. The role involves designing and deploying AI/ML models that optimize pricing, forecasting, demand prediction, and revenue optimization for airline business functions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning and AI models on
 
 Azure Databricks
 
 .
 </li>
 <li>
 Work on airline revenue management use cases such as
 
 fare optimization, demand forecasting, seat inventory optimization, and dynamic pricing
 
 .
 </li>
 <li>
 Build scalable data pipelines using Spark, Databricks, and Azure Data Services.
 </li>
 <li>
 Collaborate with business and data teams to translate revenue management requirements into AI-driven solutions.
 </li>
 <li>
 Develop and maintain end-to-end ML lifecycle including data preprocessing, feature engineering, model training, validation, and deployment.
 </li>
 <li>
 Optimize model performance and ensure scalability in production environments.
 </li>
 <li>
 Integrate ML solutions with airline systems and analytics platforms.
 </li>
 <li>
 Monitor model performance and continuously improve accuracy and business impact.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5&ndash;10 years of experience in AI/ML or Data Science roles.
 </li>
 <li>
 Strong hands-on experience with
 
 Azure Databricks
 
 and Spark ecosystem.
 </li>
 <li>
 Solid experience in
 
 Python, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch, or similar)
 
 .
 </li>
 <li>
 Strong understanding of
 
 Airlines Revenue Management concepts
 
 (pricing, forecasting, yield management, demand optimization).
 </li>
 <li>
 Experience working with large-scale data pipelines and cloud-based data platforms (Azure preferred).
 </li>
 <li>
 Experience in building and deploying production-grade ML models.
 </li>
 </ul>
 
 
 
 
 
 It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 
 
 
 
 
</div>

Artificial Intelligence Engineer

ENEC Operations

<div>
 
 The Data and AI Engineering Expert is a senior hands-on technical authority responsible for the design, development, and operationalization of enterprise data and AI platforms across ENEC. This role leads the engineering delivery of scalable, secure, and compliant data pipelines, AI/ML solutions, and analytics platforms leveraging technologies such as Databricks (Delta Lake, Unity Catalog, MLflow, Delta Live Tables), Microsoft Azure (Azure Data Factory, Azure ML, Microsoft Fabric, Azure AI Foundry, Copilot Studio), Collibra (Data Governance &amp; Data Quality), Power BI, and OT/industrial data systems including PI System, SCADA, and DCS.
 
 
 
 
 
 The Expert applies deep engineering expertise to architect and deliver production-grade solutions, ensures data governance and quality standards are upheld, and drives the adoption of AI and analytics capabilities that directly support ENEC's mission of safe, innovative, and efficient nuclear energy generation. This role acts as a principal technical contributor and mentor, enabling operational excellence and digital transformation at scale.
 
 
 Activity: Data Engineering Architecture &amp; Platform Development
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design, build, and maintain scalable, secure, and high-performance data platforms including Lakehouse architectures using Databricks Delta Lake, Unity Catalog, and Delta Live Tables (DLT).
 
 
 &bull; Develop and operationalize robust data pipelines, ETL/ELT workflows, and integration frameworks using Azure Data Factory, Databricks Workflows, and related orchestration tools.
 
 
 &bull; Architect and implement data models, semantic layers, and data products that serve enterprise analytics, AI, and reporting needs.
 
 
 &bull; Ensure seamless integration of OT and industrial data sources &mdash; including PI System, SCADA, and DCS &mdash; into enterprise data platforms.
 
 
 &bull; Design and implement APIs, data contracts, and integration frameworks to enable enterprise-wide data consumption.
 
 
 &bull; Ensure platform scalability, resilience, high availability, and disaster recovery capabilities in compliance with nuclear and regulatory requirements.
 
 
 &bull; Apply and enforce data standards, naming conventions, and metadata management practices across all data assets using Collibra and Unity Catalog.
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design, develop, and deploy production-grade machine learning, deep learning, and generative AI models using Azure ML, MLflow, and Databricks ML.
 
 
 &bull; Engineer end-to-end MLOps pipelines covering model training, versioning, validation, deployment, monitoring, and retraining &mdash; ensuring reliability and reproducibility.
 
 
 &bull; Build and operationalize AI-powered solutions including predictive analytics, anomaly detection, natural language processing (NLP), and GenAI/LLM-based applications using Azure AI Foundry and Copilot Studio.
 
 
 &bull; Develop BI and semantic models in Microsoft Fabric and Power BI, enabling self-service analytics and executive reporting across the organization.
 
 
 &bull; Apply Responsible AI principles and governance frameworks to all AI and ML solutions, ensuring explainability, fairness, and compliance.
 
 
 &bull; Conduct rigorous model evaluation, performance benchmarking, and validation to ensure solutions meet accuracy, reliability, and safety standards.
 
 
 &bull; Contribute to the continuous improvement of AI engineering standards, patterns, and reusable components across the enterprise.
 
 
 Activity: Advanced Subject Matter Knowledge
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Demonstrates deep, hands-on expertise in enterprise data engineering, AI/ML platform development, and cloud-native architectures within highly regulated environments.
 
 
 &bull; Maintains current knowledge of global trends in data engineering, MLOps, GenAI, cloud technologies (Azure, hybrid, on-premise), and nuclear industry compliance requirements.
 
 
 &bull; Understands the full lifecycle of data and AI platforms including design, development, testing, deployment, monitoring, and decommissioning.
 
 
 &bull; Applies comprehensive knowledge of data governance frameworks (Collibra, Unity Catalog), master data management, data quality, and lineage management.
 
 
 &bull; Possesses strong awareness of OT/IT convergence, industrial data systems (PI System, SCADA, DCS), and their integration into enterprise analytics environments.
 
 
 &bull; Maintains expert-level proficiency in programming languages and frameworks including Python, SQL, Spark, and relevant AI/ML libraries.
 
 
 Activity: Complex Problem Solving &amp; Innovation
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Tackles complex, ambiguous engineering challenges in data platform architecture, AI model development, and system integration &mdash; delivering innovative, compliant, and production-ready solutions.
 
 
 &bull; Leads root cause analysis and corrective/preventive actions for platform incidents, data quality failures, model degradation, and system disruptions.
 
 
 &bull; Develops and implements robust engineering solutions to address performance bottlenecks, scalability constraints, and integration challenges.
 
 
 &bull; Navigates conflicting technical requirements, evolving regulatory standards, and stakeholder needs to deliver optimal engineering outcomes.
 
 
 &bull; Drives continuous improvement by benchmarking against global engineering best practices, evaluating emerging technologies, and implementing lessons learned.
 
 
 &bull; Leads proof-of-concept and pilot initiatives to evaluate new data and AI technologies and engineering approaches
 
 
 
 
 
 Activity: Applied Skills &amp; Professional Know-How
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Expertly engineers, deploys, and operates scalable, secure, and compliant data and AI platforms across Databricks, Azure, and OT environments.
 
 
 &bull; Applies hands-on proficiency in building data pipelines, ML models, GenAI solutions, BI semantic models, and governance frameworks in production environments.
 
 
 &bull; Mentors and develops junior and mid-level data engineers, data scientists, and analytics engineers &mdash; building future-ready technical capabilities.
 
 
 &bull; Leads technical design reviews, code reviews, and architecture assessments to uphold engineering quality and best practices.
 
 
 &bull; Effectively translates complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
 
 
 &bull; Documents solutions, engineering patterns, and technical standards to build institutional knowledge and enable knowledge transfer.
 
 
 Activity: Security, Governance &amp; Compliance
 
 
 
 
 
 Responsibilities and Accountabilities:
 
 
 &bull; Design and enforce data security, access control, and privacy frameworks across all data and AI platforms using Unity Catalog, Collibra, and Azure security controls.
 
 
 &bull; Ensure all data engineering and AI solutions comply with national and international nuclear regulations, FANR requirements, and Responsible AI principles.
 
 
 &bull; Maintain comprehensive data lineage, audit trails, and documentation to support regulatory, audit, and governance requirements.
 
 
 &bull; Implement and enforce data quality frameworks and data governance policies using Collibra Data Quality and Unity Catalog.
 
 
 &bull; Conduct regular platform security assessments, data quality audits, and compliance reviews.
 
 
 &bull; Oversee risk management, audit readiness, and the implementation of robust technical controls for all platform operations.
 
 
 
 
 
 
 
 
 
 Minimum
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Information Technology, Data Management, Engineering, or related discipline.
 
 
 &bull; Minimum 12+ years' hands-on experience in enterprise data engineering, AI/ML platform development, and cloud-native architectures, including production deployment and operations.
 
 
 &bull; Experience embedding governance within modern data platforms (preferably Databricks) and integrating SAP/Oracle ERP domains.
 
 
 
 
 
 
 
 
 
 Preferred
 
 
 
 
 
 
 &bull; Master&rsquo;s degree in a relevant field.
 
 
 &bull; Experience in energy, utilities, nuclear, financial services, government, or other highly regulated sectors.
 
 
 &bull; Demonstrated AI governance experience (provenance, bias monitoring, model data requirements) in data bricks or similar AI/analytics platforms exposure.
 
 
 &bull; Demonstrated experience leading large-scale data and AI engineering programs
 
 
 
 
 
 
 
 
 
 Certification -
 
 
 
 
 
 
 Multiple cloud and AI certifications. Microsoft Fabric, Azure AI Foundry, or Databricks Unity Catalog specialty certifications. Industry publications or contributions in data engineering or AI.
 
 
 
 
 
 Relevant certifications in one or more of: Databricks (Data Engineer Associate/Professional, ML Professional), Microsoft Azure (Data Engineer, AI Engineer, Solutions Architect), MLOps, or Data Governance (Collibra).
 
</div>

Data and AI Engineering Expert

Discovered MENA

<div>
 
 📍
 
 Location:
 
 Muscat, Oman (relocation support will be provided)
 
 
 💼
 
 Job Title:
 
 Senior Machine Learning Engineer
 
 
 
 
 
 
 We are looking for an ML powerhouse to join us in beautiful Muscat! If you&rsquo;re a Senior ML Engineer who loves getting under the hood of high-performance computing (HPC) and hardware acceleration to solve massive business challenges, we want to chat. ?
 
 
 
 
 
 ?
 
 This isn't just about building models; it&rsquo;s about leading the charge on design, optimization, and deployment at scale. You&rsquo;ll be our go-to expert for turning complex problems into sleek, AI-driven realit
 
 
 
 
 
 
 y.
 
 What you&rsquo;ll be doi
 
 
 <ul>
 <li>
 
 ng:Building the Engi
 
 ne: Architecting production-ready ML pipelines from scratch&mdash;from training all the way to deployme
 </li>
 <li>
 
 nt.Pushing Limi
 
 ts: Optimizing workloads using CUDA, cuDNN, and Nvidia TensorRT to make sure everything runs lightning-fa
 </li>
 <li>
 
 st.The Heavy Lifti
 
 ng: Doing the deep-dive data analysis and feature engineering needed for top-tier datase
 </li>
 <li>
 
 ts.Leading the Pa
 
 ck: Mentoring junior engineers, heading up code reviews, and making sure we&rsquo;re always following best practic
 </li>
 <li>
 
 es.Collaborati
 
 ng: Working closely with stakeholders to turn business needs into technical wi
 </li>
 <li>
 
 ns.Staying Sha
 
 rp: Keeping us on the cutting edge by staying obsessed with the latest AI/ML advancemen
 </li>
 </ul>
 
 
 
 
 ts.
 
 
 🔍 We're looking for someone w
 
 
 <ul>
 <li>
 ith:5+ years of hands-on experience developing and deploying ML mod
 </li>
 <li>
 els.A pro with Python, TensorFlow, and PyTo
 </li>
 <li>
 rch.Experience with tools like MLflow or Kubef
 </li>
 <li>
 low.Advanced skills in Docker, REST APIs, and
 </li>
 <li>
 Git.Someone who knows their way around Nvidia Nsight, PyTorch Profiler, or Tensorboard for optimizat
 </li>
 <li>
 ion.Experience deploying AI solutions on AWS, GCP, or Az
 </li>
 <li>
 ure.Strong leadership vibes and the ability to explain "techy" things to non-techy peo
 </li>
 <li>
 ple.A Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, or a related fi
 </li>
 </ul>
 
 
 
 eld.
</div>

Senior Machine Learning Engineer

HTC Global Services

<div>
 
 Exciting Opportunity Alert! 🌟 HTC Global Services is hiring
 
 AI Engineer
 
 for an 1-year extendable contract in Abu Dhabi, UAE (Onsite).
 
 
 
 
 
 HTC Global Services - a leading CMM level 5 global provider of innovative IT and Business Process Services and Solutions since 1990 with headquarters in Troy, Michigan, USA.
 
 
 
 
 
 
 
 About the Role:
 
 
 
 
 We are seeking an AI Engineer (Innovation) with 6+ years of experience with dtrong programming experience in Python. Expertise in Machine Learning, Deep Learning, NLP, and Generative AI. Hands-on experience with OpenAI, Azure OpenAI, LangChain, Semantic Kernel, AutoGen, or similar Agentic AI frameworks.
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Design and develop AI/ML and Generative AI solutions.
 </li>
 <li>
 Build predictive models for demand forecasting, revenue optimization, dynamic pricing, ancillary revenue growth, and passenger behavior analysis.
 </li>
 <li>
 Develop and deploy LLM-based applications using RAG, Vector Databases, Prompt Engineering, and Agentic AI frameworks.
 </li>
 <li>
 Build intelligent recommendation and personalization engines.
 </li>
 <li>
 Develop scalable AI pipelines and integrate AI models with enterprise applications and operational systems.
 </li>
 <li>
 Deploy and manage AI solutions on Azure cloud platforms.
 </li>
 <li>
 Collaborate with Data Engineers, Data Scientists, Product Owners, and Business Stakeholders to translate business requirements into AI solutions.
 </li>
 <li>
 Ensure model performance, scalability, security, governance, and compliance standards.
 </li>
 </ul>
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Experience building RAG architectures and Vector Databases.
 </li>
 <li>
 Strong knowledge of LLMs, Prompt Engineering, Fine-tuning, and AI Evaluation frameworks.
 </li>
 <li>
 Experience with Azure AI Services, Azure Databricks, Azure Machine Learning, Azure Data Factory, and Azure DevOps.
 </li>
 <li>
 Experience with MLOps, CI/CD, model deployment, monitoring, and governance.
 </li>
 <li>
 Knowledge of data engineering concepts, APIs, microservices, and event-driven architectures.
 </li>
 <li>
 Familiarity with SQL, Spark, and large-scale data processing.
 </li>
 </ul>
 
 
 
 
 Interested candidates please do share your updated CV to mubeenakamal.basha@htcinc.com mentioning your Current CTC, expected CTC and notice period details.
 
 
 
 
 
 #HTCGlobalServices #ITJobs #hiring #lookingforjob #careers #jobs #immediatejoiner #recruitment #technology #jobseekers #interview #lookingforjobchange #newjob #AIEngineer #LLM #RAG #MCP #fastMCP #Python #LangGraph #LangChain #AzureAI
 
</div>

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