Urwah Admin

Yokogawa

<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/>
 Job Responsibility
 <br/>
 <br/>
 Performed the roles of Storekeeper: Receive, inspect &amp; verify materials, spare parts, and machinery component against purchase orders, delivery challans, and materials test certificates.
 <br/>
 <br/>
 Performing material inspections, for the received materials for delivery related checks.
 <br/>
 <br/>
 Handled calibrated instruments and ensured valid calibration status.
 <br/>
 <br/>
 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>


Storekeeper

<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>

Senior 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>
  HR Tasks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Coordinate the finalization of the annual insurance policy renewal and manage employee insurance requests, including endorsements, deletions, and claims.
  </li>
  <li>
   Administer and manage employee benefits and allowances, such as health club memberships and hardship allowances.
  </li>
  <li>
   Assist in developing, reviewing, and updating corporate HR policies.
  </li>
  <li>
   Serve as the QMS representative, responsible for creating, updating, and deleting HR-related controlled documents.
  </li>
  <li>
   Support employee onboarding and offboarding processes, including joining and repatriation.
  </li>
  <li>
   Assist with expatriate assignments (YHQ, YMA, and other affiliates).
  </li>
  <li>
   Process vendor payments (hotels, insurance providers, telecommunications, etc.).
  </li>
  <li>
   Maintain insurance databases, manage warning letters, conduct exit interviews, and perform turnover data analysis.
  </li>
  <li>
   Ensure timely completion of the probation review process.
  </li>
  <li>
   Support the formalization of employee transfers and relocations.
  </li>
  <li>
   Contribute to the digitalization of HR processes to enhance workflow and efficiency.
  </li>
  <li>
   Ensure timely payments to all HR-related vendors.
  </li>
  <li>
   HR data analysis / reports generation.
  </li>
  <li>
   Perform any other HR-related tasks as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Training Tasks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide administrative support for the annual training calendar.
  </li>
  <li>
   Deliver soft-skills training sessions as required.
  </li>
  <li>
   Perform any other training-related tasks as needed.
   <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>


HR Trainee

<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 Purpose
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Implementation of Advanced Process Control, advanced solution monitoring and control packages.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Key Responsibilities &amp; Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to identify the potential areas and benefits for applying Advanced Process Control for various process Units and specify the hardware/software architecture to carry out APC implementation.
  </li>
  <li>
   Carry out APC &amp; MVC implementations starting from Control Definition, Functional Design Specifications, Plant Testing, Detailed Engineering, Modeling of Controller and Estimator, Site Integration, SAT, Commissioning, Post Audit and PGTR.
  </li>
  <li>
   Multiple project co-ordination and provision of technical support for the successful completion of large APC &amp; MVC projects for various process units.
  </li>
  <li>
   Provide advisory and maintenance support including carrying out modifications to the Control strategies to ensure higher APC up time and carry out the required APC training to plant operators &amp; engineers.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Minimum of 5 years work experience in the field of Advanced Process Control.
  </li>
  <li>
   Bachelor&rsquo;s degree in chemical engineering. Master&rsquo;s degree is preferable.
  </li>
  <li>
   Hands on experience for commissioning APC Controllers in Refining, Petrochemical and Polymer process units.
  </li>
  <li>
   APC implementation experience in Yokogawa APC software PACE would be an added advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Competencies / Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent presentation and communication skills.
  </li>
  <li>
   Good leadership skills
  </li>
  <li>
   Knowledge of working on DCS platforms
   <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>


APC 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></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!
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<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>
HR Tasks</div><ul><li>
Coordinate the finalization of the annual insurance policy renewal and manage employee insurance requests, including endorsements, deletions, and claims.</li><li>
Administer and manage employee benefits and allowances, such as health club memberships and hardship allowances.</li><li>
Assist in developing, reviewing, and updating corporate HR policies.</li><li>
Serve as the QMS representative, responsible for creating, updating, and deleting HR-related controlled documents.</li><li>
Support employee onboarding and offboarding processes, including joining and repatriation.</li><li>
Assist with expatriate assignments (YHQ, YMA, and other affiliates).</li><li>
Process vendor payments (hotels, insurance providers, telecommunications, etc.).</li><li>
Maintain insurance databases, manage warning letters, conduct exit interviews, and perform turnover data analysis.</li><li>
Ensure timely completion of the probation review process.</li><li>
Support the formalization of employee transfers and relocations.</li><li>
Contribute to the digitalization of HR processes to enhance workflow and efficiency.</li><li>
Ensure timely payments to all HR-related vendors.</li><li>
HR data analysis / reports generation.</li><li>
Perform any other HR-related tasks as assigned.</li></ul><div>
Training Tasks</div><ul><li>
Provide administrative support for the annual training calendar.</li><li>
Deliver soft-skills training sessions as required.</li><li>
Perform any other training-related tasks as needed.</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>

Join Yokogawa and explore 8   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Yokogawa

About Company

Storekeeper

Senior AI/ML Engineer

HR Trainee

APC Engineer

AI/ML Engineer

AI/ML Engineer

HR Trainee