Top Tech Jobs & Startup Jobs

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

Temus is hosting a Consulting Info Day to showcase its consulting practice in digital transformation. Attendees will hear from consultants about roles and opportunities, and receive registration details by email. Event is on 17 Sep 2025 at Temus Office, Singapore.

Drive end-to-end digital transformation by framing problems, designing AI-enabled solutions, prototyping, delivering via agile teams, and driving adoption and change through stakeholder engagement, training, and governance.

Lead multiple small teams to deliver end-to-end Newgen-based solutions. Design, implement, integrate, and maintain enterprise software; perform code reviews, POCs, testing, client coordination, risk analysis, and documentation to ensure compliant, high-performance deployments.

The Azure AI Engineer I will design, develop, and deploy AI/ML solutions on Microsoft Azure, collaborating with teams to deliver solutions while enhancing their AI knowledge and skills.

Design, build, and maintain scalable data platforms on Google Cloud Platform for clients, collaborating with teams and focusing on data engineering fundamentals.

Lead AI Engineer will design and deploy advanced AI and agentic LLM systems, lead and mentor an AI/data engineering team, build MLOps pipelines and cloud deployments, produce client proposals and technical thought leadership, and drive model lifecycle, evaluation, and responsible-AI practices.

Design, develop, and deploy AI/ML solutions on Microsoft Azure; collaborate with regional and Singapore teams; deliver production-grade LLM/agentic or MLOps systems; implement CI/CD, containerization, IaC and monitoring; build client relationships and continuously upskill.

This role involves developing AI literacy and capabilities in the education sector, designing enablement programs, and maintaining learning resources. Responsibilities include supporting adoption efforts, managing partnerships, and tracking program effectiveness.