ML Engineer, MLOps & Databricks Pipelines

Darwill; Oak Brook (IL); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Darwill seeks a mid-level Machine Learning Engineer (MLOps) to productionize traditional ML models and build core data pipelines on Databricks. The role emphasizes hands-on engineering, collaboration with data scientists, and scalable ML workflows in a hybrid Chicago-area setting.

You will own ETL pipelines, model deployments, and monitoring, with opportunities to contribute to GenAI initiatives as capacity allows. Prior experience in propensities and marketing analytics is a plus.

Qualifications

• 3–6 years of professional experience in ML engineering, data engineering, or related role.
• Experience in production environments with minimal supervision.
• Ability to collaborate with Data Scientists and translate models into production.

Responsibilities

• Design, build, and maintain ETL pipelines in Databricks (Spark, Delta Lake).
• Implement data transformations across multi-source datasets.
• Maintain data validation and quality checks for reliability of ML workflows.
• Optimize Databricks jobs for performance and cost efficiency.
• Write and maintain documentation for pipelines and tables.
• Support model development, feature engineering, training, validation, and deployment.
• Deploy ML workflows and monitor production performance.

Skills

4+ years experience

PySpark

Databricks

SQL

Python

MLflow

Data pipelines

Model deployment

CI/CD

Docker

GenAI exposure

Education

Master's degree in CS/Statistics

Tools

Databricks

MLflow

Docker

AWS

Job description

Darwill seeks a mid-level Machine Learning Engineer (MLOps) to productionize traditional ML models and build core data pipelines on Databricks. The role emphasizes hands-on engineering, collaboration with data scientists, and scalable ML workflows in a hybrid Chicago-area setting.

You will own ETL pipelines, model deployments, and monitoring, with opportunities to contribute to GenAI initiatives as capacity allows. Prior experience in propensities and marketing analytics is a plus.