Top Artificial Intelligence Jobs in Johor Bahru

Serves as the physician-level clinical authority for Elsevier Clinical Solutions across APAC. Supports sales engagements, customer presentations, demonstrations, workshops, solution positioning, post-sale adoption, and thought leadership. Advises healthcare organizations on clinical decision support, AI-enabled solutions, workflow integration, evidence-based practice, patient safety, and clinical quality. Translates clinical needs into solution recommendations, supports commercial growth, gathers customer insights, informs product strategy, and promotes responsible AI adoption in healthcare.

Serves as the Enhanced Due Diligence subject matter expert, improving research content, methodology, risk scoring, sanctions screening, report writing, templates, and training. Supports complex client requirements, pre-sales activities, issue resolution, product testing, knowledge management, and database maintenance. Delivers training and workshops, partners with technology and product teams, and may supervise junior staff. Requires expertise in KYC, AML, ABAC, third-party risk, global due diligence regulations, analytical writing, and Microsoft Office.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Manage the end-to-end onboarding lifecycle for employees across APAC, ensuring compliant documentation, accurate data, and a smooth client and employee experience. Responsibilities include preparing and verifying employment packages, responding to queries, collaborating with Mobility, Benefits, Lifecycle, and Payroll teams, supporting audits and reporting, maintaining knowledge resources, and identifying automation and AI opportunities to improve efficiency and scalability.

Manages the APAC payroll operations function, ensuring accurate, timely, and compliant payroll processing across countries. Leads and mentors the payroll team, manages internal and external stakeholder relationships, oversees third-party payroll providers, monitors international payroll regulations, and implements best practices, KPIs, and SLA metrics. The role requires extensive Australia/New Zealand payroll expertise, global payroll implementation experience, analytical problem-solving, and proficiency with SAP and spreadsheet tools.

Own product areas within AI stockbroking and broader financial services, including defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, and performance data to launch, monitor, and continuously improve products while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI stockbroking and other financial-services product areas from user discovery through launch and iteration. Define product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, use research and performance data to guide decisions, manage trade-offs, and continuously improve released features.

Own AI Investing product areas from user problem discovery through roadmap, launch, measurement, and iteration. Define product scope, success metrics, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial products; use research, feedback, metrics, experiments, and production issues to improve decisions; and balance speed, user experience, business impact, compliance, and operational complexity.

Handle inbound/outbound customer calls, resolve inquiries and complaints, process requests and transactions, document interactions, meet quality and productivity targets, and collaborate to improve customer service processes. Provide timely, accurate information about products and services while maintaining a customer-first mindset.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

The intern will focus on managing big data, developing dashboards, and utilizing AI for analysis within the organization.

Handle inbound/outbound customer calls and live chats, resolve inquiries and complaints, process requests/orders, document interactions, meet performance targets, and collaborate to improve service.

Handle inbound/outbound customer calls and live chats, resolve inquiries and complaints, process orders/transactions, document interactions, meet performance targets, and collaborate to improve service.

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.

Own the end-to-end product experience for agentic AI products, including roadmap definition, UX optimization, onboarding, feature discovery, and in-app education. Analyze product usage and customer feedback to identify friction, prioritize high-impact improvements, and simplify complex workflows. Partner with design and engineering while independently driving product direction, PRDs, tickets, prototypes, and design recommendations in a fast-moving startup environment.

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 country-level automation, analytics, and AI initiatives supporting clinical trial operations. Identifies opportunities, develops business cases, translates requirements into solutions, oversees development and validation, manages dashboards and KPIs, ensures ICH GCP and regulatory compliance, and leads deployment, change management, governance, and scaling across countries and regions.

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.

Join Welo Data’s contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, and chatbot evaluation; prompt creation; and cultural and linguistic quality checks. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be fluent in Malay, based in Malaysia or Indonesia, proficient in English, comfortable with digital tools, detail-oriented, and curious about technology.

Own an AI investing product vertical end to end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Embed KYC, transaction monitoring, limits, privacy, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and failure handling while coordinating engineering, design, compliance, operations, treasury, and finance.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate KYC, transaction monitoring, limits, privacy, licensing, financial rails, and third-party dependencies. Apply AI with evaluation, safeguards, human oversight, and reliability controls while aligning engineering, design, compliance, operations, treasury, and finance.

Own an AI neobank product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Embed KYC, transaction monitoring, limits, privacy, and licensing requirements. Apply AI with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI-native finance product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, security, scalability, and failure handling. Integrate KYC, transaction monitoring, privacy, licensing, and other regulatory requirements. Apply AI and LLMs with evaluation, safeguards, human oversight, and reliability controls while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.

Own an AI stockbroking product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, regulatory readiness, and launch. Partner with engineering on APIs, data flows, ledgering, reliability, security, and scalability. Apply AI with evaluation, safeguards, and human oversight while coordinating compliance, operations, treasury, finance, design, and external partners.

Own an AI investing product vertical end-to-end, including strategy, metrics, roadmap, technical design, delivery, and launch. Partner with engineering on APIs, data flows, ledgering, reconciliation, reliability, security, and scalability. Incorporate regulatory requirements such as KYC, transaction monitoring, limits, privacy, and licensing. Apply AI with safeguards, evaluation, human oversight, and failure handling while coordinating Engineering, Design, Compliance, Operations, Treasury, and Finance.