Description

You will bridge the gap between data science and production engineering by building and maintaining machine learning pipelines.

This role is remote.

Responsibilities

• Productionize machine learning pipelines to ensure scalable deployment.
• Implement feature engineering and model evaluation workflows.
• Manage model lifecycles through A/B testing and continuous monitoring.
• Develop and maintain CI/CD processes specifically for machine learning workloads.

Required Skills

• 5+ years of professional experience.
• Proficiency in Python, including Pandas, NumPy, and Scikit-learn.
• Hands-on experience with Databricks using PySpark and Delta Lake.
• Experience with Snowflake, specifically SQL and Snowpark.
• Practical use of MLflow for model management.
• Familiarity with Docker and Kubernetes for container orchestration.
• Knowledge of Git and version control best practices.
• Working knowledge of cloud platforms such as AWS, Azure, or GCP.

Key Skills

Education

Any Gradute