Top Tech Jobs & Startup Jobs

Lead design, build, and operation of scalable AI/ML systems (LLM infrastructure, RAG pipelines, autonomous agents). Provide architecture and code guidance, establish ML engineering best practices, CI/CD, safety guardrails, evaluation frameworks, and ensure compliance with data governance and responsible AI standards.

Manage post-sale relationships for a portfolio across SEA & ANZ to drive adoption, retention and measurable outcomes. Lead onboarding, develop success plans, monitor customer health, deliver business reviews, surface growth opportunities and coordinate with Account, Product and Marketing teams to improve customer experience and renewals.

Perform moderate data management and analysis within a defined data domain: run and modify queries, produce statistics and coverage metrics, profile and validate data, investigate and report data issues, support onboarding and production data tasks, and provide technical problem-solving and ad-hoc data counts for stakeholders.

Partner with corporate legal departments to design and implement AI-driven workflows and LexisNexis solutions. Conduct demos, trainings, executive briefings, and workshops; advise on AI adoption and governance; identify expansion opportunities; collect client feedback and relay product recommendations. Travel frequently to support client engagements.

Support delivery of customer-facing SaaS projects in fraud and identity solutions by planning, tracking, and coordinating teams and stakeholders. Manage timelines, risks, issues, dependencies, documentation, meetings, and project financials. Contribute to internal planning, forecasting, capacity management, and resource utilisation while balancing up to 50% billable delivery work.

Client-facing data scientist who builds and optimizes fraud detection models and policies using large, multi-product datasets. Scope and deliver customer analytics projects, drive research and innovation, present insights to non-technical audiences, and collaborate with product and engineering teams. Use SQL, Python, LUA, BI tools, Git and Jira to create scalable solutions and become a subject-matter expert in cybercrime and industry-specific fraud patterns.

Support Financial Crime Compliance business with financial analysis, modeling, forecasting, budgeting, and month-end close. Analyze large datasets (leveraging AI), produce insights and reconciliations, recommend process improvements, guide other analysts, and deliver ad hoc financial reporting.

Identify, engage, and qualify new business opportunities for the Intellectual Property unit by creating target lists, running outreach campaigns (email, LinkedIn, phone), responding to marketing leads, and booking meetings for Enterprise Account Managers. Maintain accurate Salesforce records, deliver high-quality prospect experiences, and use metrics to monitor performance and inform handovers and briefings.

Analyze article and newsletter performance across platforms, translate data into concise insights for editorial strategy, run A/B headline tests, track audience behavior by product/region/channel/topic, and collaborate with editorial, product, and marketing to grow subscriber engagement.

Lead design and development of Microservices FrontEnd and AWS-based features for LexisAdvance/LexisPlus. Build client- and server-side code, migrate on-prem projects to AWS, maintain CI/CD pipelines, perform testing and code reviews, write technical designs, triage production issues, and lead/mentor the feature team through Agile ceremonies.