Senior AWS Full Stack ML Engineer

Senior AWS Full Stack ML EngineerCategory: Software Development/ EngineeringMain location: United States, Virginia, RestonPosition ID: J0226-1263Employment Type: Full TimeU.S. - Finding purpose at CGI (https://youtu.be/7gAvvUSJyJA)By playing this video you consent to Google/YouTube processing your data and using cookies –Learn more (xweb.asp?clid=21001&page=cookiespolicy#integrationofyoutube).Position DescriptionCGI 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.Future Duties and ResponsibilitiesWe 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 Qualifications6+ years of experience in MLOps, DevOps, or ML engineeringProven experience designing and maintaining end‐to‐end MLOps pipelinesHands‐on experience with CI/CD tools (GitLab, Jenkins, AWS CodePipeline)Experience with workflow orchestration tools such as AWS Step Functions or Apache AirflowStrong proficiency in PythonExperience with ML frameworks such as TensorFlow, PyTorch, Scikit‐learnAbility to refactor and productionize data science codeSolid understanding of model performance monitoring and data drift detectionDeep experience with AWS services, including Amazon SageMaker, S3, EC2, EKS / ECS / Fargate, Lambda, AWS Glue, IAMExperience implementing Infrastructure as Code using Terraform or AWS CloudFormationStrong knowledge of secure AWS architectures (IAM roles, VPC configurations, encryption best practices)Experience optimizing AWS environments for performance, availability, and cost efficiencyExperience designing scalable ETL pipelines and data workflowsEnsuring data quality and availability for training and inference at scaleMonitoring and alerting using tools such as Amazon CloudWatchStrong understanding of microservices architecture and system designFamiliarity with containerization (Docker) and orchestration (ECS/EKS)Experience with Git‐based version control and code quality practicesKnowledge of testing frameworks and debugging methodologiesStrong problem‐solving and troubleshooting skillsAbility to work cross‐functionally with data scientists, engineers, and business stakeholdersClear communicator who can translate complex ML infrastructure topics into practical solutionsPreferred: Experience in financial modeling environments or regulated industriesAWS Certified Machine Learning – SpecialtyAWS Certified Solutions Architect – AssociateOther relevant cloud or ML certificationsEducationBachelor's degree in Computer Science, Information Systems, or a related field.CompensationA reasonable estimate of the current range for this role in the U.S. is $121,200.00 - $154,300.00.BenefitsCompetitive compensationComprehensive insurance optionsMatching contributions through the 401(k) plan and the share purchase planPaid time off for vacation, holidays, and sick timePaid parental leaveLearning opportunities and tuition assistanceWellness and Well‐being programsSkillsDevOpsETLJenkinsTerraformWhat You Can Expect From UsTogether, 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.Equal Opportunity EmployerQualified 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.AccommodationsCGI 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 USEmploymentCompliance@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.VeteransWe make it easy to translate military experience and skills! Click here (https://cgi-veterans.jobs/) to be directed to our site that is dedicated to veterans and transitioning service members.Background ChecksAll 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 U.S. 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.Pay TransparencyCGI 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.#J-18808-Ljbffr