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Bureau Veritas Mission Critical (BVMC) seeks a Senior Mechanical Commissioning Engineer to oversee development of test scripts and testing of complex electrical infrastructure products and systems. You will plan and…
Application Engineer - Data & Integration Support Contract: 12 months, with the possibility of extension. We are looking for a mid-level Application Engineer to support a key Client Reporting / Investment…
Data Science Engineer developing, validating, and deploying ML, Deep Learning, and Generative AI models into production, while building data pipelines and supporting model monitoring using Python, SQL, and standard data science libraries.
Data engineer building pipelines, document parsing systems, and LLM-powered applications for a FinTech investments firm in Singapore, using Python, SQL, cloud warehouses (Snowflake/BigQuery/PostgreSQL), orchestration tools, and OpenAI/Anthropic APIs.
Leads AI data engineering and solutioning for Singapore’s Home Team, designing scalable data pipelines, ensuring governance, and optimizing AI model inputs while driving innovation in cloud/data technologies.
Designs and maintains production data pipelines and ML applications using Python/SQL and cloud tools to support FinTech research teams, focusing on data quality and scalability.
An 18-month contract Azure Data Engineer based on-site in Singapore, designing and maintaining scalable data pipelines on Azure (Data Factory, Synapse, Databricks), implementing ETL processes, and collaborating with business and analytics teams.
Designs AI-driven supply chain systems (inventory forecasting, procurement, logistics) using Python, ML, and optimization tools to optimize operations and deliver measurable ROI for a logistics-focused client.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
Tech lead heading a globally distributed team in Singapore, driving the Blade pricing, execution, and trade processing platform for Financial Markets, owning technical delivery and shaping the stream's roadmap.
Senior Full-Stack Engineer building and maintaining backend/frontend services, APIs, data pipelines, and integrations, while leading complex workflow systems and contributing to DevSecOps practices on enterprise cloud projects.
Full Stack Engineer building scalable web applications and AI/LLM-powered product experiences using React.js, TypeScript, and Node.js, with a focus on RAG workflows, agent systems, and evaluation pipelines.
Senior Full Stack Engineer / Consultant leading end-to-end systems integration across a large-scale data platform—defining interface specs, managing vendor integrations, owning test plans, and validating data quality.
Full Stack AI Engineer working on Capital Markets/Financial Markets products, building and deploying applications with agentic tools, prompt engineering, and containerized infrastructure.
Lead the design and management of an Azure-based cloud platform and DevOps practices, including CI/CD pipelines, IaC, and Red Hat OpenShift container orchestration for a banking environment.
DevOps/Cloud Engineer building and automating CI/CD pipelines, cloud infrastructure (AWS/Azure/GCP), and containerized applications using tools like Jenkins, Docker, Kubernetes, and Terraform.
Architect and build production-grade LLM-powered data products (Text-to-SQL, dashboards, insights) for enterprise analytics at a large ecommerce company.
Build and maintain CI/CD pipelines, automate infrastructure using Terraform and Ansible, manage cloud platforms (AWS, Azure, GCP), and support containerized applications with Docker and Kubernetes in a junior/entry-level DevOps role.
Build and modernize internal cloud-native applications using JavaScript, C#, React/Angular, and .NET, integrating AI tools to improve code quality and user workflows.
Backend engineering intern on Shopee's Data Infrastructure team, building and maintaining big data platform products (DataMap, Scheduler, Dashboard) using Java/Python/Go, MySQL, Redis, and Kafka.
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