Senior IT Pillar Specialist

McDermott International; Kuala Lumpur; Presencial; MYR 100.000 - 150.000; Jornada completa

Descripción de la vacante

McDermott International, Ltd is seeking an AI/ML Developer for Engineering IT in Kuala Lumpur, Malaysia. This role focuses on designing and integrating AI/ML solutions that enhance engineering applications and workflows.

Candidates should possess a Bachelor’s degree in a related field, with over 5 years of experience in IT applications. Strong skills in AI/ML development and Python programming are essential, coupled with excellent communication abilities.

Formación

• Minimum 5+ years of experience in IT supporting EPCI business applications as a lead or administrator.
• Strong track record in administering EPM/Hyperion technology projects in complex environments.
• 2–5 years of hands-on experience in AI/ML development with production exposure.

Responsabilidades

• Design and integrate AI/ML solutions for Engineering IT systems.
• Collaborate with engineering owners and stakeholders for AI applications.
• Monitor model performance and ensure operational reliability.

Conocimientos

AI/ML development experience

Python programming

Communication and presentation skills

Understanding of Engineering applications

Educación

Bachelor’s degree in Engineering, Computer Science, or related field

Master’s degree preferred (MBA or similar)

Herramientas

3DEXP Platform 201X

Dassault PLM Enovia

Descripción del empleo

Job Overview

The AI/ML Developer for Engineering IT is responsible for designing, integrating, deploying, and supporting AI/ML solutions that enhance engineering applications, enterprise platforms, and digital workflows. This role focuses on translating business and engineering requirements into scalable, secure, and production‑ready AI capabilities, while enabling responsible AI adoption, operational reliability, and continuous improvement across Engineering IT systems.

Responsibilities

• Provide support and development of existing Hyperion Planning applications (on‑prem) as the company implements EPBCS
• Work with consultants and internal team to implement EPBCS with Financial and Project modules including business rules, substitution variables, user security model, web forms, etc.
• Collaborate and drive strategic thinking in the development of forecasting models for large projects, metadata management, and data integration
• Provide input for functional and technical design and then deliver on the development of those design decisions
• Assist in SIT and UAT of various EPM application implementations
• Work with EPM/Hyperion vendor to pursue vendor support when necessary
• Work with business and IT teams to disposition incidents as either a bug or an enhancement and drive a regular prioritization of their respective execution
• Define requirements in accordance with SDLC, management, and project/product scope; ensure problem statements and objectives are clearly defined
• Ensure requirements are aligned with project scope, objectives, and strategies
• Ensure the PLM system functionality meets the business objectives of the Design and Global Sourcing organization
• Analyze business process flow and use case; create business requirements for any system or process changes necessary to ensure efficient and seamless operations
• Provide weekly status updates on progress toward deliverables and milestones
• Support the deployment, integration, and lifecycle management of AI/ML solutions within Engineering IT platforms, engineering applications, and enterprise workflows
• Collaborate with engineering application owners, business stakeholders, infrastructure teams, and vendors to identify, design, and implement AI‑enabled use cases that improve engineering productivity, quality, and operational efficiency
• Develop and maintain production‑ready pipelines for model deployment, monitoring, retraining, and version control, following MLOps and DevOps best practices
• Ensure secure, scalable, and reliable integration of AI/ML services with enterprise systems, databases, APIs, and cloud or on‑premises environments
• Establish processes for model performance monitoring, drift detection, incident resolution, and continuous improvement to ensure stable business operations
• Work closely with data, cybersecurity, architecture, and compliance teams to ensure responsible AI adoption, data governance, privacy, and adherence to enterprise standards
• Prepare technical documentation, support materials, and knowledge transfer artifacts for Engineering IT teams, end users, and support personnel
• Provide application support and troubleshooting for AI/ML‑enabled engineering solutions, including issue analysis, root cause identification, and coordination of fixes with relevant teams
• Contribute to evaluation of emerging AI tools, frameworks, and engineering technology platforms to recommend practical solutions aligned with Engineering IT strategy
• Participate in cross‑functional projects, pilot programs, and digital transformation initiatives to drive adoption of AI capabilities across engineering and project delivery functions

Qualifications

• Bachelor’s degree in Engineering, Computer Science, or related field
• Minimum 5+ years of experience in IT supporting EPCI business applications as a lead or administrator
• Experience in and understanding of Accounting (P&L, BS, Cash Flow)
• Ability to work as a team member as well as act as a team leader
• Have wide experience with technical experiences
• Communication and presentation skills, both written and spoken
• Strong finance and accounting background coupled with a strong track record in administering and implementing EPM/Hyperion‑related technology projects in large and complex environments
• Strong hands‑on experience configuring, deploying, and developing solutions 3DEXP Platform 201X and/or ENVOVIA V6 and several of their corresponding modules
• Experience with Dassault PLM Enovia 3D Experience 2017
• Advanced education (i.e., MBA or other master’s level education) preferred but not required
• 2–5 years of hands‑on experience in AI/ML development, deployment, or integration, with exposure to production environments
• Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, or a related discipline
• Strong programming capability in Python, with practical knowledge of machine learning libraries and frameworks
• Solid understanding of machine learning concepts, model development lifecycle, model evaluation, and performance tuning
• Experience integrating AI/ML solutions with enterprise or engineering applications using APIs, services, and system interfaces
• Working knowledge of MLOps and DevOps practices, including version control, CI/CD, model deployment, monitoring, and retraining workflows
• Familiarity with cloud and on‑premises deployment environments, containerization, and scalable solution architecture
• Understanding of data pipelines, data quality, and governance requirements for enterprise AI implementations
• Awareness of AI security, privacy, compliance, and responsible AI practices in enterprise settings
• Strong analytical, problem‑solving, documentation, and communication skills, with the ability to collaborate effectively across business, engineering, and IT teams
• Exposure to engineering systems (2D/3D applications provided by AVEVA, HEXAGON, Bentley, Autodesk, others) digital engineering platforms, or enterprise application support will be an added advantage