Machine Learning Engineer Job at Darwill, Eastern, KY

  • Darwill
  • Eastern, KY

Job Description

Overview

Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex, data-driven marketing solutions, we help CMOs and marketing leaders drive measurable performance through advanced analytics, automation, and AI-powered insights.

We are seeking a Machine Learning Engineer (MLOps) to support the productionization of traditional machine learning models (e.g., propensity and segmentation models) while also building and maintaining the core data pipelines on Databricks that power our analytics and modeling platforms.

This role is intentionally scoped for a mid-level engineer: someone with enough experience to work independently and make sound engineering decisions, but who is still hands-on, execution-focused, and eager to grow. This is not an entry-level position, and it is not a principal or architect-level role.

Location

Chicago, IL area (Oak Brook / West Suburbs)

Hybrid work model with 1–2 days onsite per week required

Reports To

VP of Data Engineering & Data Science

Responsibilities / Essential Functions
Data Engineering & Platform Foundations
  • Design, build, and maintain ETL pipelines in Databricks using Spark and Delta Lake
  • Independently implement data transformations, joins, and aggregations across large, multi-source datasets
  • Build and maintain data validation and quality checks to ensure reliability of downstream analytics and ML workflows
  • Optimize Databricks jobs for performance, scalability, and cost efficiency
  • Write and maintain clear technical documentation for data pipelines and tables
ML Engineering & MLOps
  • Partner closely with Data Scientists to support traditional ML model development, including feature engineering, training, validation, and deployment
  • Productionize propensity, ranking, and segmentation models used in large-scale marketing campaigns
  • Build and maintain repeatable ML pipelines for training, batch scoring, and inference
  • Implement model versioning, experiment tracking, and reproducibility standards
  • Support model performance monitoring, drift detection, and retraining cycles
Deployment, Monitoring & Operations
  • Deploy data pipelines and ML workflows into production environments serving millions of records
  • Implement monitoring and alerting for data and ML pipelines
  • Support A/B testing and model performance evaluation in partnership with Data Science
  • Troubleshoot production issues independently and collaborate effectively when escalation is needed
GenAI (Secondary / Directional)
  • Contribute to GenAI initiatives as capacity allows
  • Stay informed on emerging AI technologies and tooling
  • (GenAI is not the primary focus of this role today.)
Required Qualifications
Experience
  • 3–6 years of professional experience in machine learning engineering, data engineering, or a closely related role
  • Experience working in production environments with minimal day-to-day supervision
  • Demonstrated ability to collaborate effectively with Data Scientists and translate models into production systems
Technical Skills (Must-Have)
Data Engineering & Platform
  • Apache Spark (PySpark, SparkSQL)
  • Databricks (ETL pipelines, workflows, Delta Lake)
  • Strong SQL skills (complex queries, joins, window functions, optimization)
  • Experience building and maintaining scalable data pipelines
Programming & Machine Learning
  • Python (pandas, numpy, scikit-learn; experience with XGBoost or LightGBM preferred)
  • Feature engineering and data preparation for ML models
  • Working knowledge of supervised learning models (classification, regression, ranking)
MLOps & Production
  • Experience deploying ML models into production
  • Model versioning and experiment tracking (e.g., MLflow or similar)
  • Monitoring data quality and model performance in production
  • Supporting retraining and validation workflows
Cloud & Tooling
  • Experience with a major cloud platform (Databrick, AWS)
  • Familiarity with workflow orchestration tools (Databricks Workflows or similar)
Preferred Qualifications (Nice-to-Have)
  • Experience with propensity modeling, customer segmentation, or marketing analytics
  • Exposure to CI/CD concepts for data and ML pipelines
  • Experience with Docker or containerized deployments
  • Exposure to GenAI, LLMs, or RAG-based systems
  • Master’s degree in Computer Science, Statistics, or a related field
  • Seniority Level
    Associate
  • Industry
    • Marketing Services
  • Employment Type
    Full-time
#J-18808-Ljbffr

Job Tags

Full time, 2 days per week, 1 day per week

Similar Jobs

Education Department, State

Office Assistant 1 (Manhattan), (NY HELPS), Box OSEA-374/46159 Job at Education Department, State

 ...the open-competitive minimum qualifications for this position. The qualifications are: There are no education or experience requirements for Office Assistant 1.COMPETITIVE MINIMUM QUALIFICATIONS:Reassignment: Candidates must have one year of permanent competitive... 

Blue Collar Staffing

Medical Courier Job at Blue Collar Staffing

Medical Courier We're looking for a reliable and professional Medical Courier to transport time-sensitive medical materials including lab specimens, pharmaceuticals, medical equipment, and patient records between healthcare facilities, labs, and clinics.

Howard Energy Partners

Pipeline Operator I Job at Howard Energy Partners

 ...The Pipeline Operator I position requires travel to various field locations, including LACT units, tank batteries, compressor stations, and delivery points. The primary focus is maintaining equipment and ensuring everything functions properly which includes starting and... 

Alamo Decks & Fence

Fence Installer Job at Alamo Decks & Fence

Position: Fence InstallerJob Type: Full TimeResponsibilities included but not limited to:Loading and unloading tools/fence materialsEnsure that you have all the required tools and materialsInstalling all types of fencingWilling to work weekends during the busy... 

UPMC Southwestern PA

Critical Care Intensivist Job at UPMC Southwestern PA

 ...Department of Critical Care Medicine School of Medicine Faculty Position - BE/BC Critical Care Intensivist The Department of Critical Care Medicine at the University of Pittsburgh School of Medicine and UPMC is seeking board-eligible or board-certified intensivists...