Top Artificial Intelligence Jobs in Johor Bahru

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

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.

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.

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.

Oversee portfolios of Generative AI data operations projects, managing delivery, capacity planning, vendors, budgets, quality, risks, automation, and client reporting. Coach project managers and coordinators, collaborate with recruiting and finance, enforce data security and compliance, and improve processes across distributed teams.

Lead technical design and hands-on execution for complex products and systems. Responsibilities include architecture, coding, code reviews, debugging, production reliability, technical decision-making, mentoring engineers, identifying risks, and collaborating with product, design, and AI teams. The role owns initiatives from problem definition through production, improves engineering practices and tooling, and ensures scalable, secure, maintainable systems.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

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.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

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.

Translate business needs into analytics, reporting, and AI-enabled insights. Analyze data with Python and SQL, develop Power BI dashboards and semantic models, and create governed datasets. Design and evaluate GenAI, LLM, Copilot, and AI-agent use cases using RAG, vector databases, Microsoft Fabric, Azure AI Foundry, and related platforms. Partner with stakeholders and engineering teams to support enterprise AI adoption, automate workflows, and shape the organization’s APAC AI strategy.

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.

Designs and maintains enterprise data platforms, scalable pipelines, data models, cloud analytics environments, and AI-enabled solutions. Develops generative AI and RAG use cases, vector search, AI agents, workflow orchestration, integrations, and enterprise decision-support capabilities. Requires strong Python and SQL skills, experience with production data engineering, cloud platforms, semantic data models, AI governance, and tools including Microsoft Fabric, Azure AI Foundry, Copilot, OneLake, AWS Redshift, and Amazon Bedrock. This is an onsite role in Johor Bahru or Penang.

Leads quality assurance for internal AI products from prototype through production. Develops test strategies, automated functional, API, regression, and AI evaluation tests; assesses output quality, security, performance, integrations, and access controls; supports CI/CD; coordinates user acceptance testing; investigates defects; reports release risks; and mentors junior QA engineers.

Lead the AI payments business end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, and profitability. Identify customer and commercial opportunities, guide product launches with engineering and design teams, establish partnerships and operations, and scale the business. The role requires strong product and commercial judgment, cross-functional leadership, hands-on execution, and experience building or scaling products, businesses, or business units.

Lead an AI-native email app business end to end, owning P&L, strategy, product decisions, team building, execution, growth, revenue, partnerships, and profitability. The role requires working closely with product, engineering, design, operations, and commercial teams to launch and scale the business from a Malaysia-based hybrid office.

Drive CEO-level priorities for an AI neobank across product, hiring, licensing, partnerships, market expansion, and daily operations. Track OKRs, decisions, blockers, owners, and deadlines; prepare briefs and updates; coordinate cross-functional teams; identify execution gaps; and resolve urgent business problems. The role requires strong ownership, structured thinking, clear English communication, sound judgment, and the ability to operate effectively amid ambiguity and shifting priorities.

Designs and maintains scalable data pipelines, platform infrastructure, and backend services supporting AI Agent systems. Builds monitoring, alerting, observability, and data-quality capabilities while integrating distributed systems, databases, and message queues. Collaborates with AI, product, DevOps, frontend, and QA teams, and supports existing services to ensure stability and continuity.

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.