Top Machine Learning Jobs in Kuala Lumpur

Develops data-driven insights and machine learning models to support business decisions and revenue or cost goals. Provides analytics reporting, collaborates with business stakeholders to align solutions and standards, contributes to data science strategy, and mentors team members on analytics projects.

Own the strategy and lifecycle of core data platform products, including event tracking, attribution, metadata management, and data warehouse portals. Define data collection, quality, and governance standards; integrate AI capabilities; translate financial and cryptocurrency compliance requirements into data products and reporting solutions; coordinate engineering and business teams; and lead documentation, training, adoption, and continuous platform improvement.

Develops end-to-end fund security and anti-fraud risk strategies across financial products. Analyzes transaction data with Hive SQL and Python, reconstructs attack chains, quantifies losses, evaluates experiments, and deploys real-time rules. Responds to major security incidents, builds risk intelligence libraries, monitors metrics, and improves decision systems through collaboration with algorithm, product, engineering, compliance, and operations teams.

Leads internal audit analytics, automation, fraud surveillance, continuous monitoring, and AI-driven risk detection. Builds SQL models, audit-ready datasets, dashboards, alerts, and automated procedures using data from warehouses, internal systems, and blockchain sources. Partners with audit, IT, and data engineering teams to translate operational risks into analytical solutions, support investigations, quantify findings, and improve audit planning, testing, reporting, and control assessment.

Lead pre-sales, consultative selling, and solution architecture for Experian’s Ascend Platform in Malaysia. Develop tailored SaaS solutions for banks and lenders, manage complex enterprise opportunities, conduct executive workshops, create business cases and technical proposals, and demonstrate capabilities across data, analytics, credit risk modeling, ModelOps, GenAI, and decisioning. Strengthen pre-sales frameworks, support go-to-market execution, assess business processes, and translate regulatory and market needs into product and roadmap insights.

Leads regional fulfillment analytics and performance operations across Malaysia, the Philippines, and Indonesia. Responsibilities include defining KPIs, resolving data-quality issues, managing stakeholder data requests, conducting UAT, building automated Looker dashboards, supporting process improvements, documenting workflows, and coaching team members. The role requires strong SQL, Looker, Excel, and data-analysis skills, with supply chain or warehouse operations knowledge and optional Python, R, predictive analytics, and machine learning experience.

Leads marketing analytics and experimentation across 16 markets, using SQL, Python, statistical modeling, A/B testing, causal inference, and machine learning to optimize marketing spend. Builds scalable data models, dashboards, measurement frameworks, and AI-powered analytical tools using BigQuery, dbt, Looker, and Tableau. Partners with senior marketing stakeholders, presents strategic insights, mentors junior analysts, and drives adoption of automated and agentic analytics workflows.

Leads ADE’s digital and innovation strategy across aviation MRO operations. Responsibilities include technology roadmapping, digital product development, AI adoption, process digitization, cybersecurity governance, ICT infrastructure, regulatory compliance, IT audits, continuity planning, and commercialization of proprietary software. The role manages budgets, teams, vendors, partnerships, and cross-functional transformation initiatives while ensuring operational efficiency, safety, data visibility, and customer-focused delivery.

Own digital product delivery from strategy and requirements through execution and optimization. Responsibilities include prioritizing features, managing roadmaps and backlogs, collaborating with engineering, design, marketing, and stakeholders, analyzing markets and customer feedback, facilitating requirements workshops, and monitoring product metrics. The role focuses on scalable technology products, with preferred experience in fintech, payments, banking, loyalty, e-commerce, or AI-powered platforms.

Build and maintain mission-critical wealth management systems for SMB clients. Design data pipelines, ETL/ELT processes, data models, warehouses, analytics, and reporting solutions using AWS, Snowflake, Mage AI, and other big data tools. Collaborate with data scientists and analysts on predictive models, statistical analyses, and machine learning algorithms. Develop software with Next.js and Python while working closely with the team and clients on financial-domain challenges.

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.

Own product initiative delivery from kickoff through release, coordinating Product, Engineering, Data, and Solutions. Track dependencies, risks, blockers, scope changes, timelines, testing, handoffs, and launch readiness. Maintain accurate project status and documentation while ensuring execution remains aligned with product intent. This hands-on role requires technical fluency, cross-functional communication, strong ownership, and daily overlap with an Asia-based technology team.

Build and operate production-grade AI data pipelines and financial knowledge services for equities content. Responsibilities include processing text, tables, documents, and multimedia; creating knowledge bases and search indexes; engineering RAG retrieval and citation systems; integrating LLMs and NLP models; managing orchestration, APIs, quality, cost, observability, reliability, and scalable production operations.

Analyze and interpret complex data using machine learning, artificial intelligence, and advanced analytics. Transform findings into actionable insights that support organizational decision-making, business strategy, and improved outcomes. Clearly communicate technical concepts and data insights to both technical and non-technical audiences.

Support APAC Claims Operations by producing and automating reports, reconciling multi-system data, resolving quality issues, and developing scalable dashboards. Build SQL queries, Python automation workflows, data validation processes, and documentation. Deliver ad hoc analysis and leadership insights while piloting AI applications such as claims classification, anomaly detection, document summarization, and natural-language querying. Partner across markets to improve reporting efficiency, data quality, and operational decision-making.

Develop user-facing financial AI and equity research algorithms across query understanding, document processing, entity recognition, event detection, retrieval, ranking, and quality evaluation. Build datasets, labeling systems, benchmarks, and production evaluation frameworks. Apply large language models, NLP, machine learning, reinforcement learning, knowledge graphs, and multimodal methods while collaborating with engineers to deploy and continuously optimize financial data and knowledge systems.

Leads APAC Data and AI enablement by aligning regional business priorities with enterprise technology strategy. Translates business problems into scalable use cases, roadmaps, and measurable outcomes; partners with platform, data science, engineering, risk, compliance, and operations teams; drives adoption and value realization; and builds responsible AI capabilities through training, governance, champion networks, and reusable practices.

Designs and develops content governance platforms, anti-abuse tools, rule engines, and scalable governance pipelines. Integrates recommendation systems, implements content takedown policies, and builds capabilities for content review, risk detection, policy enforcement, and effectiveness analysis. The role addresses spam, fraud, traffic diversion, low-quality content, and black- or gray-market activity while collaborating with product, operations, algorithm, and business teams.

Leads analysis, mining, modeling, and visualization of large-scale transactional, operational, and customer data. Partners with compliance teams to prioritize analytical use cases, support regulatory requirements, improve business efficiency, and translate complex findings into actionable recommendations. Oversees multidisciplinary analysts, manages stakeholder data requests, assesses business changes, and develops analytical systems using machine learning, big data technologies, and visualization tools.

The Junior Wind Engineer will analyze wind loading on various structures, solve engineering problems, and support project delivery and business development.

The Senior Gen AI Engineer leads the design and strategy for Generative AI use cases, focusing on user research, product management, and collaboration with cross-functional teams to drive AI innovations and solutions.

The AI/ML Engineer develops and integrates AI models into production systems, optimizing performance and supporting project teams with leadership and mentorship.

Perform remote part-time data tasks to improve Malay AI content, including data collection, evaluation, annotation, pairwise comparisons, counting, and object tagging across audio, video, images, and collected data.

Supports data science and analytics solution development that drives business growth, customer experience, productivity, and efficiency. Responsibilities include delivering analytics workplans, developing statistical, predictive, segmentation, and propensity models, creating reusable best practices, supporting business decisions, and collaborating with multidisciplinary teams. The role requires programming-based analytics expertise, machine learning knowledge, strong analytical and problem-solving skills, business acumen, and project management capabilities.

As an AI Data Specialist, you will support AI-generated content improvement in Chinese Simplified through tasks like data collection, evaluation, and annotation.