AI/ML Advisor

Position: AI/ML Advisor – Oil & GasLocation: Kuala Lumpur, Malaysia We are looking for a seasoned AI/ML Advisor to drive the identification, development, and implementation of AI-driven solutions within the Oil & Gas industry.This position will serve as a bridge between business, technology, and industry teams, helping customers translate business challenges into practical opportunities leveraging Artificial Intelligence, Generative AI, Machine Learning, and Advanced Analytics.Key ResponsibilitiesCustomer Advisory & Business DevelopmentPartner with customers to understand business challenges, operational requirements, and strategic priorities, and identify opportunities where AI/ML, GenAI, and Advanced Analytics can create measurable value.Facilitate customer discovery sessions, workshops, requirements gathering, and solution-definition exercises.Evaluate business processes, data availability, technology environments, and organizational readiness to determine suitable AI/ML approaches.Advise customers on the application of AI/ML technologies across Oil & Gas business processes and operational environments.Collaborate with technical experts, engineers, operational teams, and business stakeholders to identify and prioritize high-impact AI/ML use cases.Lead the definition of project scope, effort estimates, resource requirements, delivery plans, assumptions, dependencies, and risks.Develop Statements of Work (SOWs), solution concepts, architectures, proposals, implementation roadmaps, and delivery strategies.Work closely with sales, consulting, engineering, and delivery teams to develop technical and commercial proposals.Define project objectives, deliverables, success measures, governance models, and implementation approaches.Build trusted customer relationships and support the identification and development of new AI/ML opportunities.Support go-to-market activities, client workshops, industry engagements, and AI/ML thought leadership initiatives.Develop reusable AI/ML solutions, frameworks, accelerators, methodologies, and industry-specific offerings.Technical & Delivery AdvisoryProvide technical and strategic direction throughout the project lifecycle, from solution design through implementation and adoption.Review AI/ML solution architectures, models, algorithms, and implementation approaches to ensure quality, scalability, reliability, and alignment with business requirements.Guide project teams on AI/ML best practices, MLOps, model lifecycle management, model governance, and Responsible AI.Provide oversight on delivery risks, technical issues, dependencies, and stakeholder concerns, supporting effective resolution where required.Advise customers and delivery teams on the deployment, adoption, integration, and operationalization of AI/ML solutions.Ensure AI/ML initiatives remain focused on measurable business impact and long-term sustainability.Leadership & Capability DevelopmentLead, mentor, and develop a team of AI/ML, Data Science, and Analytics professionals.Establish technical standards, methodologies, development practices, and quality frameworks across the AI/ML practice.Drive technical capability-building through coaching, knowledge sharing, training, and mentoring.Contribute to recruitment, onboarding, career development, performance management, and succession planning.Encourage innovation, continuous learning, collaboration, and technical excellence across the AI/ML organization.Build and strengthen the organization's internal AI/ML capabilities, expertise, and reusable intellectual property.Skills & QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related discipline.10+ years of experience in AI, Machine Learning, Data Science, Advanced Analytics, or related technology fields.Strong background in customer-facing consulting, solution advisory, presales, business development, or solution architecture.Proven track record of taking AI/ML initiatives from business opportunity identification and solution design through implementation and adoption.Experience in project scoping, effort estimation, resource planning, proposal development, and senior stakeholder engagement.Strong knowledge of Artificial Intelligence, Generative AI, Machine Learning, Deep Learning, NLP, Computer Vision, Predictive Analytics, and MLOps.Hands-on experience with Python and modern AI/ML frameworks, tools, and platforms.Experience with cloud and data platforms such as Microsoft Azure, AWS, Google Cloud, Databricks, or equivalent technologies.Strong understanding of data architecture, data engineering, SQL/NoSQL databases, data platforms, and analytics environments.