Senior Data & ML Feature Engineer

Senior Data & ML Feature Engineer

Position Description
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. 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.
For this role on this particular client engagement, employer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.
Position Description  
Future duties and 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

Required qualifications to be successful in this role
.    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
Technical Skills
.    Programming: Advanced Python and SQL
.    Distributed Processing: Spark / Flink (large-scale data processing)
.    Feature Engineering: Advanced transformations, feature design patterns
.    Data Modeling: Complex transformations, aggregation strategies
.    Feature Stores: Hands-on with platforms such as Hopsworks, Feast, SageMaker
.    ML Lifecycle Understanding: Feature importance, model input optimization
.    Data Quality & Validation: Drift detection, validation frameworks
Platform & Engineering
.    CI/CD pipelines and automated testing
.    Cloud platforms (Azure / AWS / GCP)
.    Monitoring, observability, and production debugging
.    Performance tuning and scalability optimization
Soft Skills
.    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

#LI-SG2
#DICE
Other Information:   
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $62,900.00 - $139,300.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:  
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well-being programs

Your future duties and responsibilities

Required qualifications to be successful in this role

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