Top Machine Learning Jobs in Kuala Lumpur

Leads advanced analytics and data science initiatives for financial services clients. Responsibilities include analyzing transactional and behavioral data, developing and deploying statistical and machine learning models, designing experiments, preparing scalable datasets, creating dashboards, measuring business impact, and communicating actionable insights to senior stakeholders. The role also involves cross-functional collaboration, methodology documentation, and contributing reusable analytics practices.

Performs reservoir and production analysis, material balance, decline curve analysis, reserves evaluation, reservoir modeling, history matching, forecasting, and field development studies. The role supports production optimization, well planning, data quality control, technical reporting, and multidisciplinary project delivery. It also applies Python and AI/ML tools to automate forecasting, modeling, scenario analysis, and reporting while progressively taking ownership of reservoir engineering work packages.

Perform data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and other content to improve AI-generated content in Malay. The role requires native-level Malay fluency, advanced English proficiency, and flexible part-time freelance availability. Experience with machine learning tasks, data preprocessing, quality assurance, or data labeling is preferred.

Leads risk-based assurance for AI systems across products, software development, business processes, and standalone tools. Coordinates AI intake, inventory, risk assessments, monitoring, security testing, control validation, threat intelligence, reporting, and escalation. The role works across Cyber, Product, Engineering, IT, Legal, and third-party risk teams to maintain auditable assurance records, identify material changes, assess AI security risks, and support continuous improvement without owning every technical control or governance decision.

Designs and reviews secure Azure-centric cloud, application, integration, data, and infrastructure architectures. Provides security leadership across IAM, application security, data protection, cryptography, compliance, threat modeling, and DevSecOps. Assesses GenAI and LLM risks, establishes security guardrails, supports architecture governance, and advises technical and business stakeholders. The role also mentors team members, automates security controls, and ensures alignment with enterprise standards and regulatory requirements.

Internship supporting project development and commodities activities within PETRONAS Chemicals Group’s Downstream Business. Responsibilities focus on data analysis, data science, artificial intelligence, machine learning, information science, and records management.

Own the platform product roadmap for internal tools used by sales, support, operations, and moderation teams. Lead AI-driven automation, agents, copilots, and productivity improvements while measuring efficiency and quality gains. Also oversee reliable, compliant checkout and billing, plus integrations across Mudah, third-party services, and Carousell Group. Partner with engineering, finance, payment providers, and cross-functional stakeholders to build scalable, reusable platform capabilities.

Drive adoption and value realization of Neara’s digital-twin platform among Japanese utility customers. Responsibilities include customer engagement, platform enablement, training, ROI and business-case development, stakeholder management, solution expansion, and collaboration with Sales, Deployment, Product, and Engineering teams. The role requires translating customer strategic goals into technical solutions and measurable business outcomes, with regular customer and team travel in Japan and internationally.

Build and deploy engineering-grade digital models for Japanese utility clients by integrating GIS, LiDAR, and other data sources. Configure platform projects, create dashboards, resolve model inaccuracies, support technical delivery and pre-sales, and collaborate with product and engineering teams on platform improvements and Japanese localization. The role requires customer-facing communication in Japanese, global collaboration in English, mentoring, and occasional travel to customers and international offices.

Own the analytical framework for Zalora’s Revenue Office, including KPI governance, target setting, dashboards, customer analytics, forecasting, P&L management, and revenue-profit optimization. Lead performance reviews and cross-functional initiatives involving pricing, campaigns, CRM segmentation, and machine learning. Translate complex data into actionable commercial decisions while aligning Commercial, Campaign, Marketing, Merchandising, Data, and Technology teams.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Develop and productionize machine learning and data science prototypes into scalable, maintainable solutions. Responsibilities include designing, testing, deploying, optimizing, and maintaining ML systems across cloud and on-premises environments; applying statistical methods; improving engineering practices; and sharing expertise through internal knowledge exchange, conferences, and workshops.

Leads customer and portfolio analytics for corporate and commercial banking, translating complex data into growth opportunities, campaign strategies, and business insights. Develops dashboards, reports, automated processes, and performance monitoring tools; collaborates with technology and data teams to improve data quality and capabilities. Applies statistical analysis, predictive modeling, and machine learning to business challenges, presents recommendations to stakeholders, and mentors junior analysts.

Analyze complex datasets, develop and optimize statistical and machine learning models, and create AI solutions for business challenges. Clean and validate data, evaluate model performance, and collaborate with engineering, IT, and business stakeholders on deployment and improvement. Communicate analytical findings through reports, visualizations, and presentations while translating technical results into actionable recommendations. The role also requires staying current with data science, machine learning, generative AI, and responsible data practices.

Develop machine learning and advanced analytics solutions for risk management, including predictive models, GenAI, agentic AI, data pipelines, dashboards, and automated reporting. Analyze complex datasets to identify emerging risks, control weaknesses, and non-compliance. Collaborate with stakeholders to deliver scalable analytical solutions, support model deployment and monitoring, and communicate insights to technical and executive audiences.

Lead the global strategy and roadmap for recommendations and personalization across three ecommerce platforms. Partner with data science, analytics, engineering, and regional teams to translate customer intent and machine-learning capabilities into scalable discovery experiences. Own experimentation, relevance, engagement, conversion, and commercial outcomes while balancing shared capabilities with local market needs.

Lead risk-based internal audit planning and end-to-end engagements for a global cryptocurrency exchange. Evaluate governance, risk, and controls; produce audit reports for management and the Board; monitor remediation; and use SQL, AI, and advanced analytics to improve audit testing and risk assessment. Collaborate with Compliance, Risk, and Finance teams while addressing cross-border regulatory requirements and emerging risks in cryptocurrency, DeFi, and blockchain.

Reviews financial services regulations and exchange rulebooks, assesses regulatory changes, and maintains auditable review records. Validates machine-learning topic classifications, provides labelled feedback, and helps maintain regulatory taxonomies. Compares platform rulebooks with authoritative sources to identify structural errors, missing provisions, duplication, and versioning issues. Performs quality assurance against development requirements and collaborates with product, engineering, and software teams to process new regulations and improve the service.

Develop and maintain machine learning models and AI applications, including data preprocessing, feature engineering, training, debugging, deployment, and production monitoring. Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions. Apply cloud development, containerization, APIs, microservices, and LLM techniques such as tokenization, RAG, and reinforcement learning. Participate in code reviews, follow coding standards, and continuously expand technical expertise.

Develop and maintain machine learning models and AI applications, including data preprocessing, feature engineering, model training, debugging, and production deployment. Collaborate with cross-functional stakeholders to translate business needs into scalable AI/ML solutions. Apply LLM techniques such as tokenization, RAG, and reinforcement learning, while following coding standards, participating in code reviews, and continuously improving technical expertise.

Write technically accurate case studies, articles, product explainers, launch materials, and social content for AI engineers, researchers, and technical leaders. Interview customers, partners, and internal experts; learn HUD’s platform and workflows; explain technical products and research clearly; support founder communications; manage content from ideation through publication; and improve content using reader and go-to-market feedback.

Drive new-logo acquisition and expansion across Napier AI’s Asia-Pacific client base. Build territory plans, develop senior relationships within financial institutions and regulated organizations, manage complex enterprise sales cycles, deliver proposals and business cases, navigate procurement and legal processes, negotiate commercial terms, and partner with internal teams on upsell, cross-sell, renewals, and customer growth.

Leads end-to-end Record-to-Report process architecture across 16 European and APAC markets. Owns standardization, IFRS-compliant continuous close, SAP S/4HANA optimization, automation, AI adoption, internal controls, and SSC governance. Manages and develops the regional R2R team while partnering with IT, accounting, tax, audit, and finance leadership to deliver large-scale transformation and improved reporting accuracy.

Leads enterprise AI transformation across banking business units, identifying use cases, developing strategies, and overseeing AI projects from proof of concept through deployment and monitoring. Collaborates with business, data science, engineering, and IT teams; evaluates technologies and vendors; establishes responsible AI governance; mentors specialists; and presents business cases and recommendations to senior management.