Data & ML Feature Engineer

Cgi Inc.
Strongsville, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 139K

Job location

Strongsville, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Automation of Tests
Azure
Big Data
Cloud Computing
Computer Programming
Information Engineering
Software Debugging
Distributed Computing Environment
Distributed Data Store
Hadoop
Hive
Python
Machine Learning
Performance Tuning
Azure
Software Deployment
SQL Databases
Google Cloud Platform
Feature Engineering
Apache Yarn
Spark
Pandas
Low Latency
Apache Flink
Kafka
Machine Learning Operations
Docker

Job 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.

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

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 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 / Google Cloud Platform) . 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, * Apache Hadoop YARN

  • Apache Kafka
  • AWS SageMaker
  • Big Data,Analytics&Operations
  • Hadoop Hive
  • Machine Learning
  • Pandas
  • Python
  • Docker

Benefits & conditions

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

About the company

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because... You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

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