Senior Data & ML Feature Engineer

CGI•Strongsville, OH

18h•Onsite

About The Position

We are seeking an experienced Data & ML Feature Engineer with strong expertise in Python and big data technologies to join our team. This role focuses on operational excellence, including optimizing feature engineering pipelines and maintaining machine learning models in production environments. The desired candidate will work closely with platform and data science teams to ensure scalable, reliable, and high-performance ML workflows using existing frameworks. This position will be performed onsite five days a week at our client site in Strongsville, OH.

Requirements

6–10+ years in Data Engineering, Feature Engineering, or ML Engineering
Proven experience designing production-grade data/feature pipelines
Strong track record in scalable distributed data systems
Experience working in enterprise AI/ML platforms or feature stores
Prior mentoring or technical leadership experience
Advanced Python and SQL
Spark / Flink (large-scale data processing)
Advanced transformations, feature design patterns
Complex transformations, aggregation strategies
Hands-on with platforms such as Hopsworks, Feast, SageMaker
Feature importance, model input optimization
Drift detection, validation frameworks
CI/CD pipelines and automated testing
Cloud platforms (Azure / AWS / GCP)
Monitoring, observability, and production debugging
Performance tuning and scalability optimization
Technical leadership and mentoring
Cross-team collaboration (Data Science, MLOps, Platform)
Strong problem-solving and optimization mindset
Ability to translate business use cases into feature logic

Responsibilities

Design and implement scalable, reusable feature pipelines (batch and real-time)
Develop complex feature transformations and advanced data modeling logic
Optimize feature performance, latency, and cost efficiency
Ensure feature quality, validation, and SLAs (freshness, accuracy, reliability)
Collaborate with Data Science and ML Engineering teams to align features with use cases
Contribute to feature store architecture and standards
Mentor Feature Engineers and promote engineering best practices
Support production deployment, monitoring, and incident resolution