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Yokogawa

Industrial automation and process control solutions

Senior AI/ML Process Consultant/Engineer

Implementation & Technical Account ManagementUpdated on Nov 15
Full-timeAbu Dhabi - United Arab EmiratesNo salary listed

About the Job

Requirements

  • A Bachelor's or Master's degree in Chemical Engineering is preferred.
  • A minimum of 15 years of industrial process experience spanning APC/RTO-related software development, engineering, and business development is required.
  • A minimum of 4 years of experience leading, architecting, or implementing AI/ML applications and AI-driven transformation initiatives in an industrial setting is required.
  • A strong foundation in AI/ML methods, the model lifecycle, and best-practice deployment and governance approaches is required.
  • Strong problem-solving skills with an emphasis on solution development are required.
  • A strong foundation in AI/ML solution design, methodology, solution and enterprise architecture, and architecture governance such as TOGAF is required.
  • Strong exposure to machine learning technologies, including automated data collection, historian applications, data visualization, manufacturing quality and efficiency, SCADA, automated decision and control, workflow, database applications, and scheduling is required.
  • Strong knowledge of IIoT integration concepts and architectures is required.
  • Awareness of Python, R, and common machine learning frameworks is an added value.
  • Knowledge of the Oil & Gas, Petrochemical, or specialty chemicals domains is a plus.
  • Experience with advanced process applications such as MPA, APC, or RTO is an advantage.
  • The candidate must be willing and able to travel throughout the YMA region and globally as required.

Responsibilities

  • 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.
  • Define solution architectures and develop detailed design specifications for complex AI solutions.
  • Define functional requirements through client interviews, documentation analysis, and workflow or process mapping.
  • Provide expert technical judgment to estimate the effort required to implement complex AI solutions.
  • Identify and develop business cases for focused AI applications and support their implementation and successful proliferation within the assigned process industry or application.
  • Advise customers on suitable AI/ML solutions and provide business portfolio management, solution design, and demonstration functions.
  • Own and drive the preparation of Feasibility Study and Business Case reports to support customer FID and budgeting approvals.
  • Engage proactively with customers to understand expectations and ensure they are consistently met through AI/ML solutions.
  • Define the overall technical approach for AI implementation, integrating simulation and Digital Twin and, where applicable, APC/RTO technologies.
  • Develop solutions that resolve customer process problems and support business growth in the assigned technical areas.
  • Assist existing customers with problem resolution, identify future opportunities, and provide ongoing service support to clients under contract.
  • Own technical deliverables across the entire lifecycle of solution-development projects.
  • Ensure the timeliness and quality of assigned deliverables while supporting the broader delivery team.
  • Ensure AI best-practice approaches, standards, and methods are applied appropriately throughout delivery.
  • Participate actively as a member of technical project teams and build and maintain effective working relationships.
  • Support Smart Manufacturing and Digital Transformation training efforts by providing input, documenting requirements, and supporting the design and delivery of AI-related training programs.
  • Partner with sales personnel to position solutions, support opportunity development, and secure orders.

Desired Qualifications

  • Knowledge of AI for process control is an advantage.
  • Awareness of Python, R, and common machine learning frameworks is an added value.
  • Knowledge of the Oil & Gas, Petrochemical, or specialty chemicals domains is a plus.
  • Experience with advanced process applications such as MPA, APC, or RTO is an advantage.

About the Company

Yokogawa

Industrial automation and process control solutions

Yokogawa provides industrial automation, measurement, and IT solutions for industries such as oil and gas, chemicals, and power. Its products connect operations technology with information technology, using sensors, field instruments, and control systems to enable real-time monitoring, optimization, and predictive maintenance across devices, edge systems, and cloud platforms. The company differentiates itself through a long history in process control, a broad end-to-end portfolio under the OpreX brand, and active digital transformation efforts that integrate IIoT, AI, and digital twins, often in partnerships with Microsoft for Azure and cybersecurity. Its goal is to help customers run safer, more efficient, and more sustainable operations by advancing from automation to autonomy with data-driven, enterprise-scale solutions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1915

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