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Senior AI/ML Process Engineer

Yokogawa
Khobar, KSA
Full-time
Senior · 15+ years experience
Discovered 6 days ago

Full Job Posting

Job Purpose

  • The Senior AI/ML Process Consultant is responsible for architecting AI/ML-based process solutions and supporting AI-Control implementation across Oil & Gas, Petrochemical, and other process-industry domains. The role owns AI/ML business outcomes and implementation strategy, while collaborating and supporting the Digital Enterprise Business Unit / Solution Division to build differentiated capabilities and accelerate growth across the YMA region.
  • Key Responsibilities & Accountabilities:
  • Technical Analysis & Solution Architecture
  • 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 / process mapping.
  • Provide expert technical judgment to estimate the effort required to implement complex AI solutions.
  • Business Case & Portfolio Development
  • Identify and develop business cases for focused AI applications and support their implementation and successful proliferation within the assigned process industry / application.
  • Advise customers on suitable AI/ML solutions and provide overall business portfolio management, solution design, and demonstration functions.
  • Own and drive the preparation of Feasibility Study/ Business Case reports to support the customer for FID/Budgeting approvals.
  • Client Engagement & Relationship Management
  • 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 / Digital Twin and, where applicable, APC/RTO technologies.
  • 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.
  • Project Delivery & Quality Assurance
  • 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, building and maintaining effective working relationships.
  • 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.
  • Sales Collaboration & Growth
  • Partner effectively with sales personnel to position solutions, support opportunity development, and secure orders.
  • Qualification and Experience:
  • Master's or Ph.D. preferred, with a minimum of 15 years of industrial process experience spanning APC/RTO-related software development, engineering, and business development.
  • Minimum 4 years' experience designing or implementing AI/ML applications; knowledge of AI for process control is an advantage.
  • Familiarity with the Smart Industry Readiness Index (SIRI) assessment framework and experience supporting Smart Manufacturing / Digital Transformation (SM/DX) initiatives is an advantage.
  • Strong foundation in AI/ML methods, model development, and best-practice deployment approaches.
  • Strong problem-solving skills with an emphasis on solution development.
  • Work location: Yokogawa Global AI CoE Centre, Kingdom of Saudi Arabia (KSA).
  • Willing and able to travel throughout the YMA region and globally as required.
  • Competencies & Skills
  • Strong foundation in AI/ML software skills — analysis, design, methodology, and architecture.
  • 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 of R, Python, and 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.
  • Experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.
  • Strong communicator and collaborative team player with the ability to energize and influence others.
  • 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.
  • Are you being referred to one of our roles? If so, ask your connection at Yokogawa about our Employee Referral process!
  • Are you being referred to one of our roles? If so, ask your connection at Yokogawa

Qualifications

  • Familiarity with the Smart Industry Readiness Index (SIRI) assessment framework and experience supporting Smart Manufacturing / Digital Transformation (SM/DX) initiatives is an advantage.
  • Experience with advanced process applications (e.g. MPA / APC / RTO) is an advantage.

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