Machine Learning Ops Lead

📋 Description

• Develop the infrastructure for Machine Learning and MLOps.

• Responsible for creating tools, SDKs, and automated pipelines.

• Optimize MLflow performance.

• Document APIs and SDKs.

⛳️ Requirements

• Over 5 years of experience in Data Science, Machine Learning, or MLOps.

• More than 2 years of experience working with MLOps tools in a production environment.

• Experience in building SDKs/libraries in Python for internal use.

• Familiarity with CI/CD pipelines.

• Ability to understand Bayesian models.

🏝️ Benefits

• A work culture rooted in trust and purpose.

• Space for ideas and feedback.

• Opportunities for transparency.