Senior AI​/ML Developer

Job order - J - Permanent Full Time

Senior AI/ML Developer

Software Development / Engineering

Reston, Virginia, United States

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 focuses on designing, maintaining, and optimizing end‑to‑end ML workflows across Domino and Amazon Sage Maker platforms. The position is located at a client site in Reston, VA, and a hybrid working model is acceptable.

• Design, maintain, and optimize end‑to‑end ML workflows across Domino and Amazon Sage Maker platforms.
• Collaborate closely with data scientists, platform engineers, and governance teams to ensure models are production‑ready, traceable, and compliant with enterprise standards.
• Work on scalable data pipeline development to support training and inference workloads.
• Ensure model governance, explainability, fairness, bias testing, and operational best practices are followed.
• Assist in troubleshooting production ML issues and improving operational efficiency.

• 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.

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

Reasonable estimate: $ – $.

• Competitive compensation.
• Comprehensive insurance options.
• Matching contributions through the 401(k) plan and 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.

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 US_ Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job.

Emails for any other reason or those that do not include a Position  not be returned.