Support the deployment and configuration of a decarbonization system's platform, applying AI tools to accelerate delivery and troubleshoot integration issues. π― About the Roleβ¦
AI Forward Deployed Engineering (AI FDE) Intern
- Location
- Singapore, Singapore
- Posted
- Status
- Open
About this role
Contribute to building intelligent systems that bridge enterprise systems and physical operations, solving complex real-world challenges with advanced AI.
π― About the Role
This internship offers a hands-on opportunity to work alongside AI scientists and engineers to develop AI solutions for real-world operational challenges. You will learn to translate ambiguous problems into clear AI use cases, prototype solutions, and deliver measurable operational impact.
π οΈ Key Responsibilities
- π€ Collaborate with AI scientists and engineers to develop AI prototypes.
- π‘ Explore and apply modern AI technologies, including LLMs, computer vision, and AI agents.
- ποΈ Build AI applications, intelligent workflows, and agentic systems.
- π§© Assist in evaluating, adapting, and integrating foundation models for domain-specific applications.
- π Contribute to AI experiments, model evaluation, and rapid prototyping.
- π Contribute to technical documentation, demonstrations, and knowledge sharing.
β Requirements & Skills
- π Pursuing a Bachelor's (senior), Master's, or Ph.D. in Computer Science, Engineering, AI, Data Science, or related field.
- π Strong programming skills in Python. Experience with PyTorch or similar ML frameworks is preferred.
- π€ Technical background in ML, LLMs, Computer Vision, Multimodal AI, Agentic Systems, or Data Science.
- π‘ Experience through coursework, research, personal projects, hackathons, or previous internships is a plus.
- π€ Strong analytical and problem-solving skills.
- π£οΈ Excellent written, verbal, presentation, and communication skills.
- π§βπ€βπ§ Ability to collaborate effectively in multidisciplinary teams.
π Location: Singapore
π© How to Apply
How to apply
Applications are handled on sg.linkedin.com, not here. The link below opens the original posting.
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