Make integration effortless: Create reusable frameworks, SDKs, and configuration patterns so new connectors and integrations can be built quickly and maintained reliably.
Own reliability: Handle authentication (OAuth, SSO), rate limiting, incremental sync, error handling, and observability across many external systems.
Collaborate & keep it simple: Partner with product and engineering to turn integration requirements into clean, maintainable solutions that work at scale.
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Gain hands-on experience building applications using modern AI-driven software engineering practices, including Generative AI, Agentic AI, and AI-assisted development workflows.
Develop new features and enhance existing applications using modern programming languages, frameworks, and cloud technologies.
Participate in coding, testing, debugging, and troubleshooting activities, while gaining hands-on experience with engineering best practices
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Gain hands-on experience building applications using modern AI-driven software engineering practices, including Generative AI, Agentic AI, and AI-assisted development workflows.
Develop new features and enhance existing applications using modern programming languages, frameworks, and cloud technologies.
Participate in coding, testing, debugging, and troubleshooting activities, while gaining hands-on experience with engineering best practices
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Provide advanced support and troubleshooting for data pipelines, ETL/ELT processes, and data integration workflows across cloud and on-prem environments.
Enhance and mentor others in organizational, communication, and analytical skills, fostering a collaborative and data-driven engineering culture.
Gain exposure to the end-to-end machine learning lifecycle, from experimentation to production, by enabling robust and scalable data access for model training and inference.
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Security & Governance: Implement enterprise security controls on-site, including IAM policy management, network security groups, encryption standards, and local regulatory compliance rules.
Operations & Troubleshooting: Perform real-time technical troubleshooting, root-cause analysis (RCA), and operational support directly within the client environment.
Client Engagement: Communicate technical progress, document architecture setups, and provide technical advisory to local stakeholder teams.
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Connect with creative strategists and account teams to learn how tech supports business outcomes.
Position yourself for technical roles in media tech or data science by gaining applied experience on real marketing problems.
Ready to learn and build real tools for marketing teams? Join us by working with us at SYN GLOBAL GROUP SDN BHD, a media and marketing team that helps brands tell clearer stories and reach real people through data and creative tech. We move fast, iterate often, and value practical experimentation over perfect theory.
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Partner with AI engineers and developers — including agentic AI initiatives such as multi-agent orchestration systems, natural-language query layers over real-time vision event data, and LLM tool-use and automation — to scope, estimate, and sequence work accurately.
Develop detailed project plans, timelines, and resource allocation; monitor progress and report against KPIs.
Serve as the primary point of contact for clients, managing communication and expectations across technical and business audiences.
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