project engineer (automation & communication)

ai/ml engineer

civil engineer

full-stack engineer – ai Jobs in Bahrain

full-stack engineer – ai

project engineer (automation & communication) Jobs in Bahrain

senior ai/ml engineer

plant engineer

Havelock One Interiors

<div>
 <strong>
  Role Summary
  <br/>
  <br/>
 </strong>
 The Plant Engineer will oversee the maintenance and reliability of all machines and equipment within the joinery and metal production facility. This includes CNC machines, polishing units, milling machines, metal painting booths, and other specialized equipment. The role ensures minimal downtime, optimal performance, and compliance with safety standards through preventive and corrective maintenance strategies.
 <br/>
 <br/>
 <strong>
  Role Description
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Operational Reliability &amp; Safety Ensure smooth functioning of all industrial facility equipment and systems with a focus on safety, efficiency, and reliability. This includes compressors, dust collectors, firefighting and fire alarm systems, HVAC units, RO plants, material handling equipment, goods and passenger lifts, shutters, and both HV &amp; LV electrical systems.
  </li>
  <li>
   System Design &amp; Improvement Lead the design, installation, maintenance, and continuous improvement of diverse systems across electrical, mechanical, pneumatic, and hydraulic domains to enhance performance and reduce downtime.
  </li>
  <li>
   Preventive Maintenance Programs Develop and implement structured preventive maintenance schedules for utilities, ensuring long-term asset health, minimizing breakdowns, and optimizing lifecycle costs.
  </li>
  <li>
   Routine Inspections &amp; Compliance Conduct regular maintenance checks and enforce strict compliance with safety standards, regulatory requirements, and industry best practices.
  </li>
  <li>
   Documentation &amp; Reporting detailed maintenance procedures, generate logs, and prepare reports to track performance, highlight issues, and support audits.
  </li>
  <li>
   Annual Maintenance Contracts (AMC) Plan, schedule, monitor, and verify AMC service tasks with precision, ensuring vendor accountability and adherence to service-level agreements
  </li>
  <li>
   Budgeting &amp; Cost Control Prepare and manage budgets for utilities maintenance, balancing cost efficiency with operational excellence and reliability.
  </li>
  <li>
   Troubleshooting &amp; Technical Support Collaborate with supervisors and technicians to diagnose and resolve machinery and utility system issues, ensuring minimal disruption to operations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications &amp; Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Education: Bachelor&rsquo;s degree in mechanical/ electrical/industrial engineering.
  </li>
  <li>
   Experience: Minimum 5-7 years in plant engineering or maintenance within joinery, metal fabrication, or similar manufacturing environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge compressors / dryers/ generators. Firefighting HVAC.
  </li>
  <li>
   Familiarity with wood working equipment, PLC machines, etc.
  </li>
  <li>
   Proficiency in CMMS software for maintenance planning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong analytical and problem-solving skills.
  </li>
  <li>
   Excellent communication and leadership abilities.
  </li>
 </ul>
</div>


Plant Engineer

Yokogawa

<div><div>Not just a job, but a career</div><div>
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.</div><div></div><div>
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.</div><div></div><div>
About the Team<br>
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.</div><div></div><div>
Job Description</div><div></div><div>
We are looking for an AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will take part in design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</div><div></div><div>
Job Overview</div><div></div><div>
You will be part of a Project Delivery team to:</div><ul><li>
Develop dynamic process simulation model to simulate various plant scenarios.</li><li>
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.</li><li>
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.</li><li>
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.</li><li>
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.</li><li>
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.</li></ul><div></div><div>
Key Responsibilities</div><div></div><div>
Technical Leadership &amp; Mentorship</div><ul><li>
Develop dynamic process simulation model for various plant scenarios accurately.</li><li>
Analyze data historian, exploratory data analysis and data pre-processing.</li><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</li><li>
Advocate best practices in Data analysis, Data pre-processing and machine learning model development.</li></ul><div></div><div>
Stakeholder Collaboration &amp; Communication</div><ul><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li></ul><div></div><div>
Requirements</div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
6+ years of hands-on experience in AI/ML and process simulations projects execution.</li><li>
Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.</li><li>
Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.</li><li>
Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Strong experience with classical machine learning, deep learning and reinforcement learning projects.</li><li>
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li></ul><div></div><div>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</div><div>
Programming &amp; Frameworks</div><ul><li>
Languages: Proficiency in Python and visual basic coding is essential.</li><li>
ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.</li></ul><div></div><div>
Data Engineering &amp; Integration</div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div>
Personal Attributes (Special personal characteristics/ interpersonal skills)</div><ul><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Deeply passionate about transforming emerging technologies into practical, industrial solutions.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
A fast learner with a strong aptitude for collaboration and teamwork.</li></ul><div></div><div>
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.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

AI/ML Engineer

<div>
 <strong>
  Not just a job, but a career
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for an AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will take part in design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 You will be part of a Project Delivery team to:
 <br/>
 <br/>
 <ul>
  <li>
   Develop dynamic process simulation model to simulate various plant scenarios.
  </li>
  <li>
   Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.
  </li>
  <li>
   Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
  </li>
  <li>
   Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
  </li>
  <li>
   Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
  </li>
  <li>
   Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.
  </li>
  <li>
   Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Technical Leadership &amp; Mentorship
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop dynamic process simulation model for various plant scenarios accurately.
  </li>
  <li>
   Analyze data historian, exploratory data analysis and data pre-processing.
  </li>
  <li>
   A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.
  </li>
  <li>
   Advocate best practices in Data analysis, Data pre-processing and machine learning model development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.
  </li>
  <li>
   Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.
  </li>
  <li>
   6+ years of hands-on experience in AI/ML and process simulations projects execution.
  </li>
  <li>
   Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.
  </li>
  <li>
   Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.
  </li>
  <li>
   Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.
  </li>
  <li>
   Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
  </li>
  <li>
   Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
  </li>
  <li>
   Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
  </li>
  <li>
   Strong experience with classical machine learning, deep learning and reinforcement learning projects.
  </li>
  <li>
   Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)
  <br/>
  <br/>
 </strong>
 <strong>
  Programming &amp; Frameworks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages: Proficiency in Python and visual basic coding is essential.
  </li>
  <li>
   ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Attributes (Special Personal Characteristics/ Interpersonal Skills)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Consistently demonstrates exceptional technical skills, competence, and productivity.
  </li>
  <li>
   Deeply passionate about transforming emerging technologies into practical, industrial solutions.
  </li>
  <li>
   Possesses excellent communication and interpersonal abilities.
  </li>
  <li>
   A fast learner with a strong aptitude for collaboration and teamwork.
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 <br/>
 <br/>
 about our Employee Referral process!
</div>


<div>
 <strong>
  Not just a job, but a career
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 We are looking for a Senior AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.
 <br/>
 <br/>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 You will be part of a Project Delivery team to:
 <br/>
 <br/>
 <ul>
  <li>
   Develop dynamic process simulation model to simulate various plant scenarios.
  </li>
  <li>
   Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.
  </li>
  <li>
   Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.
  </li>
  <li>
   Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.
  </li>
  <li>
   Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.
  </li>
  <li>
   Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.
  </li>
  <li>
   Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  Technical Leadership &amp; Mentorship
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.
  </li>
  <li>
   Lead and mentor a team of process engineers and machine learning engineers.
  </li>
  <li>
   Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.
  </li>
  <li>
   Advocate best practices in Data analysis, Data pre-processing and machine learning model development.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stakeholder Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.
  </li>
  <li>
   Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compliance &amp; Risk Management
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.
  </li>
  <li>
   Proactively address potential risks related to data privacy, model bias, and operational safety.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.
  </li>
  <li>
   10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role.
  </li>
  <li>
   Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.
  </li>
  <li>
   Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.
  </li>
  <li>
   Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.
  </li>
  <li>
   Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.
  </li>
  <li>
   Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.
  </li>
  <li>
   Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.
  </li>
  <li>
   Strong experience with classical machine learning, deep learning and reinforcement learning projects.
  </li>
  <li>
   Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.
  </li>
  <li>
   Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.
  </li>
  <li>
   Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.
  </li>
  <li>
   Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)
  <br/>
  <br/>
 </strong>
 <strong>
  Programming &amp; Frameworks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Languages: Proficiency in Python and visual basic coding is essential.
  </li>
  <li>
   ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Data Engineering &amp; Integration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Personal Attributes (Special Personal Characteristics/ Interpersonal Skills)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Consistently demonstrates exceptional technical skills, competence, and productivity.
  </li>
  <li>
   Deeply passionate about transforming emerging technologies into practical, industrial solutions.
  </li>
  <li>
   Possesses excellent communication and interpersonal abilities.
  </li>
  <li>
   A fast learner with a strong aptitude for collaboration and teamwork.
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <br/>
 Are you being referred to one of our roles? If so, ask your connection at Yokogawa
 <br/>
 <br/>
 about our Employee Referral process!
</div>


Senior AI/ML Engineer

<div><div>Not just a job, but a career</div><div>
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.</div><div></div><div>
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.</div><div></div><div>
About the Team<br>
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.</div><div></div><div>
Job Description</div><div>
We are looking for a Senior AI/ML Engineer with deep technical expertise and proven leadership in delivering impactful solutions for the oil &amp; gas industry. In this role, you will drive the design, development, and implementation of advanced AI/ML models, working closely with cross-functional teams to optimize operations and deliver data-driven insights in challenging industrial environments.</div><div></div><div>
Job Overview</div><div></div><div>
You will be part of a Project Delivery team to:</div><ul><li>
Develop dynamic process simulation model to simulate various plant scenarios.</li><li>
Exploratory Data Analysis to analyze trends and patterns, data pre-processing and make intelligent recommendations.</li><li>
Implement classical machine learning techniques to prepare soft sensors, reinforcement learning models for process plant autonomous control operations.</li><li>
Design and develop AI models that troubleshoot the plant upsets, support asset performance management across various maintenance strategies.</li><li>
Leverage Generative AI (Large Language Models, Deep Reinforcement Learning) to enable multi-agent systems for collaborative decision-making and autonomous goal-seeking behavior.</li><li>
Ensure AI models are scalable and deployable within industrial platforms, integrating with PLC, DCS, SCADA, Historians, EAM, MES/MOM, SCM, and ERP systems.</li><li>
Ensure compliance with ethical AI principles, particularly in terms of fairness, transparency, and bias mitigation.</li></ul><div></div><div>
Key Responsibilities</div><div></div><div>
Technical Leadership &amp; Mentorship</div><ul><li>
A.I. project implementation from data ingestion and feature engineering to model deployment and monitoring.</li><li>
Lead and mentor a team of process engineers and machine learning engineers.</li><li>
Review the process model and guide the team to develop plant scenarios in the dynamic simulation model accurately.</li><li>
Advocate best practices in Data analysis, Data pre-processing and machine learning model development.</li></ul><div></div><div>
Stakeholder Collaboration &amp; Communication</div><ul><li>
Partner with domain experts, process engineers, and project managers to translate complex operational challenges into AI-driven solutions.</li><li>
Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li></ul><div></div><div>
Compliance &amp; Risk Management</div><ul><li>
Ensure all AI/ML solutions comply with industry regulations, safety standards, and data governance policies.</li><li>
Proactively address potential risks related to data privacy, model bias, and operational safety.</li></ul><div></div><div>
Requirements</div><ul><li>
Bachelor&rsquo;s/master&rsquo;s in chemical engineering, AI, Machine Learning, or related field.</li><li>
10+ years of hands-on experience in AI/ML, with at least 4 years in a senior or lead role.</li><li>
Proven project delivery experience in industrial or energy sectors, with a preference for oil &amp; gas.</li><li>
Demonstrated knowledge of oil &amp; gas processes (upstream, midstream, downstream), instrumentation, and control systems.</li><li>
Proven Expertise to develop process dynamic simulations using PFDs and P&amp;IDs and trouble shooting.</li><li>
Proficiency in handling large-scale data, time-series data, and sensor/IoT data within industrial contexts.</li><li>
Familiarity with real-time data challenges and solutions specific to high-stakes industrial environments.</li><li>
Strong foundation in machine learning algorithms (supervised, unsupervised, reinforcement learning), statistical modelling, and optimization techniques.</li><li>
Strong experience with classical machine learning, deep learning and reinforcement learning projects.</li><li>
Identify relevant metrics for A.I. model evaluation and Present technical outcomes to both technical and non-technical audiences, highlighting business value and ROI.</li><li>
Proven experience in Generative AI, RAG and vector embeddings for optimized knowledge retrieval and decision-making, and multi-agent systems for industrial applications.</li><li>
Expertise in cloud-based AI deployments (AWS, Azure, or Google Cloud) and edge AI for real-time decision-making.</li><li>
Strong analytical, problem-solving, and communication skills, with a proven ability to work across teams.</li></ul><div></div><div>
Knowledge/ Professional Skills (Technical knowledge or skills required to perform the job)</div><div>
Programming &amp; Frameworks</div><ul><li>
Languages: Proficiency in Python and visual basic coding is essential.</li><li>
ML Libraries: Expert-level knowledge of Numpy, Pandas, Scikit-learn, TensorFlow, and Keras.</li></ul><div></div><div>
Data Engineering &amp; Integration</div><ul><li>
Experience integrating AI/ML solutions into existing industrial control systems and operational dashboards.</li></ul><div></div><div>
Personal Attributes (Special personal characteristics/ interpersonal skills)</div><ul><li>
Consistently demonstrates exceptional technical skills, competence, and productivity.</li><li>
Deeply passionate about transforming emerging technologies into practical, industrial solutions.</li><li>
Possesses excellent communication and interpersonal abilities.</li><li>
A fast learner with a strong aptitude for collaboration and teamwork.</li></ul><div></div><div>
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.</div><div></div><div>
Are you being referred to one of our roles? If so, ask your connection at Yokogawa<br>
about our Employee Referral process!</div></div>

Bilfinger Middle East

<div>
 Bilfinger is a leading international industrial services provider, driving efficiency and sustainability for the process industry. With 30,000+ employees and over &euro;5 billion in revenue in 2024, we offer solutions in consulting, engineering, manufacturing, maintenance, turnarounds, and digital applications across key sectors like energy, chemicals, pharma, and oil &amp; gas.
 <br/>
 <br/>
 In the Middle East, Bilfinger provides comprehensive services ranging from feasibility studies, conceptual and detailed design, to project management and construction supervision. We play a vital role in oil &amp; gas, power, water, infrastructure, and industrial sectors by ensuring projects meet international standards, cost efficiency, and sustainability goals. Beyond project delivery, we also support clients with asset integrity management, plant maintenance, and turnaround services to ensure reliability, efficiency, and extended lifecycle of critical facilities.
 <br/>
 <br/>
 With deep regional expertise of around 3600+ employees and global best practices, we support our clients in achieving operational excellence, risk management, and long-term value creation.
 <br/>
 <br/>
 At Bilfinger, we offer a work environment where you can learn and grow. Join us and be part of a team shaping the future!
 <br/>
 <br/>
 Job Description For:
 <strong>
  Resident Engineer (Civil )
  <br/>
  <br/>
 </strong>
 Bilfinger Tebodin Middle East (Bahrain)
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Projects exposure within multi-discipline engineering, EPCM or EPC
  </li>
  <li>
   These projects will range across the full lifecycle from concept to commissioning, in both green and brownfield applications
  </li>
  <li>
   Exposure to all the major sectors (Oil &amp; Gas, Industrial, Buildings, Water &amp; Wastewater treatment plants, Chemicals, Petrochemicals , Infrastructure)
  </li>
  <li>
   Construction supervision, QS, Scheduling
  </li>
  <li>
   Delivering the Civil and Structural design within budget and planning. This includes change control and consistency of the Process design with the other disciplines
  </li>
  <li>
   Responsible for the quality of the Civil and Structural Engineering
  </li>
  <li>
   Participate in internal and external design reviews and handle different portfolio of projects
  </li>
  <li>
   Be able to deliver projects in a multi-discipline environment and be capable of coordinating all Civil and Structural Engineering, with the other disciplines, EC&amp;I, Mechanical and Piping, Process and Automation
  </li>
  <li>
   Strong commitment to HSE management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education and Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience as Resident Engineer (Civil/Structural ), in single and multi-discipline projects, in an Engineering / EPCM / EPC company, in one of the above mentioned sectors
  </li>
  <li>
   Good knowledge of Civil and Structural engineering and design
  </li>
  <li>
   MEng / BEng / HNC / HND in Civil and Structural Engineering
  </li>
  <li>
   Experienced with the main C&amp;S design packages including , AutoCAD, AutoCAD 3D, Staad Pro, Tedds and all Microsoft office packages
  </li>
  <li>
   You understand the dependencies of the engineering activities within the mechanical discipline, but also the dependencies between mechanical and the other disciplines.
  </li>
  <li>
   Project management and business skills , Quality standards
  </li>
  <li>
   Minimum 12 years of experience in related field.
   <br/>
   <br/>
  </li>
 </ul>
 For additional information please contact Gelson Dsouza, email gelson.dsouza@bilfinger.com.
 <br/>
 <br/>
 Bilfinger is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, disability or other characteristics protected by law.
 <br/>
 <br/>
 If you are interested in an employment with Bilfinger, please submit your application in the safe environment of our global job portal only using the "apply now" button.
 <br/>
 <br/>
</div>


Resident Engineer

Bilfinger

<p></p><div><div><div><div><div><b>Job ID: </b>69693
</div></div></div></div><div><div><div><div><p>Project Engineer (Automation &amp; Communication)
</p></div></div></div></div><div><div><div><div>BTME_Bahrain office, 13, BH, 0000
</div></div></div></div><div><div><div><div>Onsite Work<br>
</div></div></div></div><div><div><div><div><div>Bilfinger is a leading international industrial services provider, driving efficiency and sustainability for the process industry. With 30,000+ employees and over &euro;5 billion in revenue in 2024, we offer solutions in consulting, engineering, manufacturing, maintenance, turnarounds, and digital applications across key sectors like energy, chemicals, pharma, and oil &amp; gas.</div>
<div>
In the Middle East, Bilfinger provides comprehensive services ranging from feasibility studies, conceptual and detailed design, to project management and construction supervision. We play a vital role in oil &amp; gas, power, water, infrastructure, and industrial sectors by ensuring projects meet international standards, cost efficiency, and sustainability goals. Beyond project delivery, we also support clients with asset integrity management, plant maintenance, and turnaround services to ensure reliability, efficiency, and extended lifecycle of critical facilities.<br>
With deep regional expertise of around 3600+ employees and global best practices, we support our clients in achieving operational excellence, risk management, and long-term value creation.</div>
<div>
At Bilfinger, we offer a work environment where you can learn and grow. Join us and be part of a team shaping the future!</div><div></div><div><br>
We are looking for an experienced Project Engineer (Automation background) to manage the automation related scope for GDN Gas Dispatching System project.</div>
<div>
This role is responsible for overseeing automation, SCADA/RTU/PLC integration, dispatch application modules, field instrumentation, and the establishment of new Dispatch Centres in the GDN.</div>
<div>
He will serve as the single point of accountability ensuring smooth coordination across vendors, engineering disciplines, operations, IT/OT security, commercial teams, and EPC partners.</div>
<div><b>
Key Responsibilities</b></div>
<div><b>
Project Delivery &amp; Execution</b></div>
Lead the full lifecycle: FEED detailed engineering procurement implementation FAT/SAT commissioning<ul><li> handover.</li>
<li>Deliver all modules including real‑time monitoring, nomination management, demand forecasting, priority‑based allocation, curtailment logic, LNG scheduling, and GIS/pipeline surveillance.</li>
</ul>
<div><b>Internal Stakeholder Management</b></div>
<ul>
<li>Coordinate with internal teams: SCADA, Controls, Instrumentation, IT/OT, Commercial, Operations, Planning.</li>
<li>Align technical requirements with operational needs and owner department expectations.</li>
<li>Facilitate cross‑discipline reviews and technical approvals.</li>
</ul>
<div><b>Vendor &amp; EPC Coordination</b></div>
<ul>
<li>Manage automation vendors, dispatch system suppliers, and EPC teams executing field automation upgrades.</li>
<li>Drive interface management, technical clarifications, system architecture reviews, and integration testing.</li>
</ul>
<div><b>Systems Integration Leadership</b></div>
<ul>
<li>Oversee SCADA&ndash;RTU&ndash;PLC&ndash;PI&ndash;Dispatch Application&ndash;ERP integration.</li>
<li>Validate cybersecurity, data integrity, and system reliability.</li>
<li>Approve ICDs, system workflows, and data mapping as per project needs.</li>
</ul>
<div><b>Quality, Compliance &amp; Risk</b></div>
<ul>
<li>Ensure compliance with OT cybersecurity requirements and engineering standards.</li>
<li>Identify project risks and implement mitigation strategies in line with GDN project challenges.</li>
</ul>
<div><b>Qualifications &amp; Experience</b></div>
<ul>
<li>Bachelor&rsquo;s degree in Electrical / Control / Instrumentation Engineering (Master&rsquo;s preferred).</li>
<li>12&ndash;18 years&rsquo; experience in automation &amp; control systems, SCADA/RTU/PLC integration, or gas/power dispatching systems.</li>
<li>Proven experience delivering large multi‑vendor, multidiscipline industrial automation projects.</li>
<li>Strong technical leadership and stakeholder coordination skills.</li>
<li>Expertise in industrial communication protocols (Modbus, OPC, DNP3, MQTT).</li>
<li>Experience in OT cybersecurity preferred.</li>
</ul>
<div><b>Key Skills</b></div>
<ul>
<li>High pressure gas dispatching system knowledge in oil and gas company (mandatory)</li>
<li>SCADA &amp; Industrial Automation</li>
<li>System Integration &amp; Cybersecurity</li>
<li>Stakeholder &amp; Vendor Management</li></ul><br>
<div></div>
<div>
For additional information please contact Gelson Dsouza, email gelson.dsouza@bilfinger.com.</div>
<div>
Bilfinger is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, disability or other characteristics protected by law.</div>
<div>
If you are interested in an employment with Bilfinger, please submit your application in the safe environment of our global job portal only using the &quot;apply now&quot; button.</div><br>
</div></div></div></div><div><div><div><div>Tebodin Middle East Ltd. Branch Bahrain
</div></div></div></div><div><div><div><div>Engineering
</div></div></div></div><div><div><div><div>Permanent
</div></div></div></div><div><div><div><div>Graduates</div></div></div></div></div><p></p>

Project Engineer (Automation & Communication)

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