Data Ml Engineer

Summary

Join our team as a Data Engineer and contribute to the migration of ML components from AWS SageMaker to Databricks! We are seeking experienced Data Engineers with a strong background in Machine Learning to work on a long-term, fully remote project for a US-based client. The project involves migrating and optimizing cloud-based models, requiring collaboration with a data/platform team. The work will be primarily during standard business hours, with flexibility in scheduling. This is a long-term opportunity with potential for continued work on similar projects within the same environment. The client values open communication and a streamlined recruitment process.

Requirements

• 7 years of experience as a Data Engineer
• Excellent knowledge of the Databricks platform and the Apache Spark framework (especially PySpark)
• Experience in migrating ML solutions (e.g., from SageMaker to Databricks) and transferring pipelines to a cloud environment
• Practical experience with AWS services, especially S3, EC2, SageMaker
• Participation in projects based on machine learning or AI, also in production environments
• Excellent knowledge of Python
• Experience with cloud platforms such as AWS or Azure
• English at a level that allows for fluent communication in a team

Responsibilities

• Migrate ML components from AWS SageMaker (training jobs, endpoints) to Databricks
• Deploy models to production, monitor metrics, and perform retraining
• Collaborate with the data/platform team on integrating models with existing data architecture
• Prepare an implementation plan for live deployment
• Automate and optimize ETL processes

Preferred Qualifications

• Knowledge of Microsoft Azure cloud services (e.g., Data Factory, Synapse, Logic Apps)
• Experience with MLflow, Feature Store, Delta Lake, CI/CD models, drift monitoring
• Experience working with big data or NoSQL databases (e.g., Redshift, EMR, Hadoop, Google BigQuery)
• General understanding of data pipeline management tools (DBT, Airflow, SSIS, etc.) - as a complement to collaboration with the Data Engineering team

Benefits

• Private medical care (Medicover)
• Multisport card for contractors