Responsibilities
- Work closely with product and engineering teams to embed AI capabilities and deploy reliable systems into business applications
- Lead proof-of-concept projects and share findings on novel AI methodologies
- Manage and coordinate agentic workflows powered by large language models
- Participate in end-to-end development of AI solutions, including data infrastructure, model training, and post-deployment oversight
- Develop, construct, and refine high-performance machine learning models for production use
- Establish and maintain strong MLOps frameworks using Kubernetes, MLflow, and cloud platforms such as AWS, Azure, or GCP
- Promote responsible AI practices with a focus on fairness, explainability, and data security
Work Arrangement
Hybrid
Team
Part of the AI Lab ecosystem
Other
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