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Senior ML​/Data Engineer

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: CGI Technologies and Solutions, Inc.
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Senior ML/Data Engineer

Category: Software Development/ Engineering

Main location: United States, Virginia, Reston

Position : J

Employment Type: Full Time

Position

Description:

CGI has an immediate need for a Senior ML/Data Engineer to join our team. This is an exciting opportunity to work in a fast‑paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side‑by‑side in an agile environment using emerging technologies.

We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.

This role is located at a client site in Reston, VA. A hybrid working model is acceptable.

Your future duties and responsibilities:

We are seeking a highly experienced ML/Data Engineer to lead end‑to‑end machine learning operations, model lifecycle management, and data engineering initiatives across Domino and Amazon Sage Maker platforms. This role is responsible for ensuring model quality, governance alignment, operational stability, and scalable data infrastructure.

You will oversee model monitoring, experiment tracking, and lifecycle transitions while building robust data pipelines to support training, validation, and inference workloads. The position requires strong collaboration with data scientists, platform engineers, and governance teams to maintain compliance, explainability, and production readiness across enterprise ML environments.

This is a hybrid role based in Reston, requiring three days onsite and two days remote per week.

Required qualifications to be successful in this role:
  • 7+ years hands‑on experience with AWS and ML engineering practices
  • Proficiency in Python and deep experience implementing MLflow for experiment tracking and lineage
  • Practical expertise with Domino and Amazon Sage Maker SDKs
  • Experience building and maintaining scalable data pipelines for training and inference
  • Strong background in feature engineering and dataset preparation
  • Knowledge of model validation, explainability techniques, and fairness/bias evaluation frameworks
  • Experience packaging and deploying models across development, test, and production environments
  • Solid understanding of Git-based workflows, version control, and MLOps best practices
  • Strong SQL and data modeling skills
  • Experience working with relational databases, No

    SQL platforms, and data lakes
  • Familiarity with tools such as Spark, Hive, and Airflow
  • Ability to design structured, analysis-ready datasets from diverse data sources
Education:

Bachelor's degree in Computer Science, Information Systems, or a related field.

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 $ - $.

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.

Skills:
  • Detail-oriented
  • GIT
  • GIT
  • No

    SQL
  • Python
  • SQL
What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

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…

Position Requirements
10+ Years work experience
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