Job description:

• Machine learning and data engineering
• Experience with scikit-learn, including model training, evaluation and prediction, feature engineering and hyper parameter tuning
• Experience with building and optimizing machine learning pipelines with tools such as Vertex AI or Kubeflow
• Experience with building and optimizing data pipelines with tools such as Dataflow
• Experience with discrete optimization (nice to have)
• Software Engineering
• Deep knowledge of Python, standard lib, popular packages, and tooling
• Experience with writing clear and idiomatic code, following best practices
• Experience with working with legacy code
• Experience with testing (unit, integration and end-to-end), using tools such as pytest
• DevOps
• Working knowledge of Linux and Google cloud
• Experience with Docker and Kubernetes
• Experience with GitHub actions and Terraform
• Soft skills:
• Can do attitude, always trying to solve something alone first
• Knows when to use Google/ChatGPT/Stack overflow and when to engage other team members
• Can explain complex concepts in a straightforward way to both tech and non-tech stakeholders

Required cloud certification: GCP MLE