Corbion's Data and AI Lab is building the future of intelligent systems—where AI agents collaborate, reason, and act autonomously across our global operations. We’re looking for a Machine Learning / AI Engineer to help us bring this vision to life, working at our Lenexa, KS office.
Requirements
- 3+ years of experience in ML engineering, applied AI, or intelligent systems development.
- Strong Python skills and experience with ML frameworks (e.g., MLlib, scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (preferably Azure) and CI/CD pipelines.
- Solid understanding of data modeling, software architecture, and algorithmic design.
- Agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) or multi-agent systems.
- LLM orchestration, retrieval-augmented generation (RAG), or domain-specific copilots.
- Azure AI Foundry, Apache Spark and data lake platforms.
Responsibilities
- Develop ML models and agent-based AI systems that reason, learn, and act across domains like procurement, production, and customer engagement.
- Design multi-agent architectures where AI agents collaborate to optimize operations from 'Idea to Launch', 'Demand to Supply', ‘Order to Cash’, etc.
- Lead MLOps practices for model lifecycle management, including monitoring, retraining, and governance.
- Partner with data scientists, analytics engineers, and business stakeholders to translate complex problems into AI-powered solutions.
- Contribute to the development of AI-enhanced digital products, predictive tools, and decision support systems.
Other
- Bachelor’s Degree or Master’s Degree in Computer Science, Mathematics, Data Science, AI, or related field.
- Corbion is an equal opportunity employer and committed to a diverse workplace.
- All applicants will be considered equally without regard to race, color, ethnicity, veteran status, religion, national origin, marital status, political affiliation, age, sex, sexual orientation, handicapping condition, membership in an organization or any other non-merit factors.
- Corbion provides reasonable accommodation to applicants.
- EOE/M/F/Vet/Disabled
