INDUSTRY:
Manufacture
JOB DESCRIPTION:
- Engage with stakeholders to identify business problems suitable for AI/ML and translate needs into well-defined use cases with measurable outcomes.
- Lead the design, training, testing, and deployment of machine learning models and generative AI solutions tailored to each use case, ensuring reliability, scalability, and compliance with governance standards.
- Craft and refine prompts for large language models and implement retrieval-augmented generation architectures to enable dynamic, contextually relevant outputs for enterprise use.
- Design and orchestrate intelligent multi-agent systems using role-specialized agents, utilizing Model Context Protocol to manage agent memory, interaction, and behavior constraints.
- Build structured, context-aware models and agents using Pydantic AI, with experience in similar frameworks such as LangGraph, LangChain, or Semantic Kernel being applicable.
- Develop and manage robust ETL pipelines to feed real-time and historical data into AI systems, ensuring data readiness and integrity.
- Explore cutting-edge AI capabilities, test new architectures, and bring innovative ideas into practical implementation.
- Work cross-functionally with product owners, developers, and operations teams, presenting complex concepts in business-friendly language.
- Maintain clear, accessible documentation of models, agents, and system workflows, providing mentorship and support to other team members.
REQUIREMENTS:
- Education: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field
- Language: Good English proficiency
- Experience: 3–5+ years of hands-on experience in AI/ML development, especially use case-driven solution building; proven ability to own model development from use case definition to deployment.
- Experience in enterprise, manufacturing, or process-driven environments is preferred.
- Willing to work in Karawang (Work From Office).