AI/ML Process Engineer

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.

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