Senior AWS Full Stack ML Engineer

Company: CGI
Location: Reston
Posted on: April 2, 2026

Job Description:

U.S. - Finding purpose at CGI By playing this video you consent to Google/YouTube processing your data and using cookies – Learn more . Position Description: CGI has an immediate need for a Senior AWS Full Stack ML 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 AWS Full Stack ML Engineer to operationalize and optimize large-scale financial modeling platforms. This role blends machine learning expertise, full-stack software engineering, and deep AWS cloud knowledge, with a strong emphasis on building scalable and secure MLOps ecosystems. The ideal candidate will bridge the gap between data science experimentation and enterprise-grade production systems. You will transform model prototypes into resilient, compliant, and high-performance solutions while ensuring reliability, observability, and cost efficiency in a regulated financial environment. This position requires hands-on ownership of ML pipelines, infrastructure automation, cloud architecture, and cross-functional collaboration to deliver secure and scalable AI-driven applications. Required qualifications to be successful in this role: . 6 years of experience in MLOps, DevOps, or ML engineering . Proven experience designing and maintaining end-to-end MLOps pipelines . Hands-on experience with CI/CD tools (GitLab, Jenkins, AWS CodePipeline) . Experience with workflow orchestration tools such as AWS Step Functions or Apache Airflow . Strong proficiency in Python . Experience with ML frameworks such as: TensorFlow PyTorch Scikit-learn . Ability to refactor and productionize data science code . Solid understanding of model performance monitoring and data drift detection . Deep experience with AWS services, including: Amazon SageMaker S3, EC2 EKS / ECS / Fargate Lambda AWS Glue IAM . Experience implementing Infrastructure as Code using Terraform or AWS CloudFormation . Strong knowledge of secure AWS architectures (IAM roles, VPC configurations, encryption best practices) . Experience optimizing AWS environments for performance, availability, and cost efficiency . Experience designing scalable ETL pipelines and data workflows . Ensuring data quality and availability for training and inference at scale . Monitoring and alerting using tools such as Amazon CloudWatch . Strong understanding of microservices architecture and system design . Familiarity with containerization (Docker) and orchestration (ECS/EKS) . Experience with Git-based version control and code quality practices . Knowledge of testing frameworks and debugging methodologies . Strong problem-solving and troubleshooting skills . Ability to work cross-functionally with data scientists, engineers, and business stakeholders . Clear communicator who can translate complex ML infrastructure topics into practical solutions . Preferred: Experience in financial modeling environments or regulated industries AWS Certified Machine Learning – Specialty AWS Certified Solutions Architect – Associate Other relevant cloud or ML certifications Education: Bachelor's degree in Computer Science, Information Systems, or a related field.? DICE LI-SH6 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 $121,200.00 - $154,300.00. 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 Skills: DevOps ETL Jenkins Terraform 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 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. 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_Employment_Compliance@cgi.com . You will need to reference the Position ID of the position in which you are interested. 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 ID will not be returned. We make it easy to translate military experience and skills! Click here to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.

Keywords: CGI, Tuckahoe , Senior AWS Full Stack ML Engineer, IT / Software / Systems , Reston, Virginia