Summary
Yokogawa is hiring an AI/ML Process Engineer to support AI-based process solutions and operational improvement for oil and gas, petrochemical, and other process-industry customers. The role contributes to technical analysis, solution design, pilot delivery, business cases, client support, and project deliverables under the guidance of senior consultants. Applicants should have a bachelor’s or master’s degree in chemical engineering or a related discipline and 7–10 years of industrial process experience, with some hands-on industrial AI/ML experience. The work location is Yokogawa’s Global AI CoE Centre in the UAE, and travel across the YMA region and globally may be required.
The posting
As published on yokogawa.com. Pulled from the employer's site and shown as they wrote it.
Not just a job, but a career
Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ 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 & 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 & Accountabilities
1. Technical Analysis & Solution Support
- 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.
- Contribute to solution designs and help develop detailed design specifications for AI solutions under the direction of senior consultants.
- Help capture functional requirements through client interviews, documentation analysis, and workflow / process mapping.
- Provide input to effort estimates for implementing AI solutions, drawing on technical guidance from senior team members.
2. Business Case & Application Support
- Support the development of business cases for focused AI applications and assist with their implementation within the assigned process industry / application.
- Assist senior consultants in advising customers on suitable AI/ML solutions, and support solution design and demonstration activities.
- Support the preparation of Feasibility Study / Business Case reports that help customers with FID / budgeting approvals.
3. Client Engagement & Relationship Management
- Engage with customers alongside senior consultants to understand expectations and help ensure they are met through AI/ML solutions.
- Contribute to the technical approach for AI implementation, helping integrate simulation / Digital Twin and, where applicable, APC/RTO technologies.
- Help develop solutions that resolve customer process problems and support business growth in the assigned technical area(s).
- Assist existing customers in problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.
4. Project Delivery & Quality Assurance
- Deliver assigned technical tasks and deliverables across the lifecycle of solution-development projects, under the guidance of senior consultants.
- Help ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
- Apply AI best-practice approaches, standards, and methods appropriately throughout delivery.
- Participate actively as a member of technical project teams, building and maintaining effective working relationships.
5. Knowledge Sharing, Training & Enablement
- 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.
6. Sales Collaboration & Growth
- Work with sales personnel to help position solutions and support opportunity development.
Qualification and Experience:
- Bachelor’s or master’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).
- 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.
- Working knowledge of AI/ML methods and the model lifecycle, with awareness of best-practice deployment approaches.
- Strong problem-solving skills with an emphasis on solution development.
- Work location: Yokogawa Global AI CoE Centre, United Arab Emirates (UAE).
- Willing and able to travel throughout the YMA region and globally as required.
Competencies & Skills
- 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.
- Working knowledge and implementation experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.
- Awareness of, or working knowledge of, Python, R, and common Machine Learning frameworks is an added value.
- Strong knowledge of IIoT integration concepts and architectures.
- Up-to-date awareness of the latest AI and Digital Twin market trends.
- Knowledge of the Oil & Gas, Petrochemical, or specialty chemicals domains is a plus.
- Strong communicator and collaborative team player, comfortable working with colleagues and customer stakeholders.
- Strong problem-solving orientation with a focus on practical solution development.
“All appointments are subject to the successful completion of applicable background verification checks.”
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.
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