MLOps Engineer integrating data and AI solutions for Globo's digital transformation. Focused on automated workflows and data management in a hybrid work environment.
About the role
- Machine Learning Engineer deploying state-of-the-art models in AI medical environments. Collaborating with doctors and engineers to enhance healthcare technology and efficiency.
Responsibilities
- Deploy state-of-the-art models in production environments
- Evaluate performance and iterate
- Build concurrent agent architectures for rapid, multi-agent evidence gathering across messy, distributed customer data sources
- Create evals that use production assessment workflows to gather ground truth
Requirements
- 3+ years experience shipping software to production
- Solid understanding of machine learning, statistics, and deep learning fundamentals
- Experience developing software for medical devices or in a regulated setting
- Proficient in exploring messy real-world data
Benefits
- Offers Equity
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