Senior AI/ML Process Consultant/Engineer

Job description

Not just a job, but a career the employer, 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. Key Responsibilities & Accountabilities: 1. 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. 2. 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. 3. 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. 4. 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. 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 • Partner effectively with sales personnel to position solutions, support opportunity development, and secure orders. about our Employee the employer process!

Requirements

• Bachelors or Masters in Chemical Engineering. 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 leading, architecting, or implementing AI/ML applications and AI-driven transformation initiatives in an industrial setting
• knowledge of AI for process control is an advantage.
• Strong foundation in AI/ML methods, the model lifecycle, and best-practice deployment and governance approaches.
• Strong problem-solving skills with an emphasis on solution development.
• Work location: Kingdom of Saudi Arabia.
• Willing and able to travel throughout the YMA region and globally as required.
• Competencies & Skills
• Strong foundation in AI/ML solution design, methodology, and solution / enterprise architecture, including architecture governance (e.g. TOGAF).
• 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.
• 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.
• 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, including senior and executive stakeholders.
• Strong problem-solving orientation with a focus on practical solution development.
• the employer is an Equal Opportunity Employer. the employer 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. the employer values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.
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Skills