Role overview
Machine Learning Engineer
What you'll work on
- Work in a Scrum / Agile environment in a DevOps team.
- Work with other ML engineers to optimize our MLOps frameworks on innovativeness, efficiency, performance, user-friendliness, and more.
- Design and implement unit tests, integration tests, and code reviews to ensure code quality and reliability.
- Collaborate with data scientists to train and maintain deployed models, tracking their performance and making necessary adjustments to ensure quality, accuracy and reliability.
- Collaborate with data scientists, software engineers, and domain experts to understand project requirements and translate them into technical specifications.
- Working with Azure tools and technologies.
- Building automated YAML pipelines towards production.
What we're looking for
- Knowledge of Azure Databricks.
- Knowledge of data and model drift detection.
- Familiarity with Spark ecosystem
Tags & focus areas
Used for matching and alerts on DevFound Remote Machine Learning Ai