Top Machine Learning Jobs in Ipoh

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.

Serves as the technical domain authority for Weatherford’s digital oil and gas portfolio across Malaysia and Asia. Translates production, artificial lift, surveillance, and asset integrity challenges into digital solutions; leads discovery workshops, value assessments, proofs of concept, technical sales support, demonstrations, and tender responses. Oversees implementation, commissioning, customer adoption, training, and continuous improvement while feeding customer and market insights into product roadmaps. Coaches regional teams and supports operators across onshore and offshore environments.

Lead supplier quality analytics for outsourced foundry, assembly, and test subcontractors. Build ELT pipelines, data validation, automated testing, and interactive dashboards (Spotfire/PowerBI). Use statistical modeling to track, predict, and resolve manufacturing variability, support continuous improvement, and provide weekend rotational support.

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.

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.

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.

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.

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.

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.

Perform legal data collection, evaluation, and annotation for AI-powered contract management platforms in Simplified Chinese. Analyze clauses, obligations, and terms in international business contracts; participate in onboarding, calibration, and quality reviews; and collaborate within secure client environments. Requires contract or legal expertise, strong legal interpretation and contract-review skills, and fluency in English and Simplified Chinese. Prior data annotation or machine learning evaluation experience is preferred.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

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.

Build privacy and anonymization systems that detect and transform PII, credentials, secrets, and other sensitive information in data used for AI training. Develop detection methods combining rules, statistical models, classifiers, and LLMs; create production data-processing pipelines; evaluate privacy risk and retained utility; and ensure robustness against schema drift, unusual formats, leakage, and adversarial re-identification.

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.

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.

Support day-to-day business activities by gathering user requirements, analyzing data, creating documentation, and assisting in AI-related projects for a smoother communication between business and development teams.

Manage relationships with high-value customers and partners in Malaysia to drive new logo, renewal, and cross-sell revenue for Sophos. Qualify opportunities, build C-level and channel relationships, collaborate with Sales Engineering/Marketing/Channel, maintain Salesforce CRM and forecasts, attend events, and coach teammates while ensuring customer satisfaction.