Senior AI​/ML Developer

Senior AI/ML Developer

Location:

United States, Virginia, Reston

Our client is seeking a Senior AI/ML Developer to support enterprise‑scale machine learning initiatives within a highly collaborative AWS‑based environment. This role will focus on designing, maintaining, and optimizing end‑to‑end ML workflows across Domino and Amazon Sage Maker platforms.

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.

Our client is seeking a Senior AI/ML Developer to support enterprise‑scale machine learning initiatives within a highly collaborative AWS‑based environment. This role will focus on designing, maintaining, and optimizing end‑to‑end ML workflows across Domino and Amazon Sage Maker platforms.

The ideal candidate will have strong experience in machine learning engineering, MLOps, and scalable data pipeline development, with a solid understanding of model governance, explainability, and operational best practices. The engineer will work closely with data scientists, platform engineers, and governance teams to ensure models are production‑ready, traceable, and compliant with enterprise standards.

This is a hybrid opportunity based in Reston, VA, requiring onsite presence three days per week.

• 5+ years of hands‑on experience working in AWS‑centric machine learning environments
• Deep understanding of Amazon Sage Maker and ML platform operations
• Experience using Domino Data Lab or similar enterprise ML platforms
• Advanced Python programming skills for ML engineering and automation
• Practical experience implementing MLflow for experiment tracking and model lineage
• Ability to design and maintain scalable data pipelines for training and inference workloads
• Knowledge of feature engineering techniques and data preparation best practices
• Experience with model validation, explainability, fairness, and bias testing frameworks
• Familiarity with model packaging, deployment processes, and lifecycle management
• Strong understanding of MLOps principles, CI/CD workflows, and version control practices
• Experience collaborating with cross‑functional teams including data science, engineering, and governance stakeholders
• Ability to troubleshoot production ML issues and improve operational efficiency

• AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect are a plus

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

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 $ - $.

• 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

• Amazon Web Services Cloud
• Communication
• Detail‑oriented
• Machine Learning
• Python
• Artificial Intelligence

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at U