Machine Learning Engineer / MLOps Engineer

Machine Learning Engineer / MLOps Engineer


Category: Software Development/ Engineering

Main location: United States, North Carolina, Raleigh


Alternate Location(s): United States, Louisiana, Lafayette
United States, Connecticut, Bloomfield
United States, Texas, Austin

Position ID:J0626-1399


Employment Type: Full Time


U.S. - The best version of me


By playing this video you consent to Google/YouTube processing your data and using cookies - Learn more.

Position Description:


We CGI is seeking a highly motivated Machine Learning Engineer / MLOps Engineer to design, develop, deploy, and maintain scalable machine learning solutions in a cloud native environment. The ideal candidate will have hands on experience across the machine learning lifecycle, including model development, deployment, monitoring, and operationalization using AWS cloud services and modern MLOps practices.

This role requires strong expertise in machine learning engineering, backend service development, CI/CD automation, and cloud infrastructure. The candidate will collaborate with data scientists, software engineers, and business stakeholders to deliver production ready AI/ML solutions that drive business value.


This position can be located in Raleigh, NC (Preferred), Lafayette, LA, Bloomfield, CT, Austin, TX in a Hybrid Model.

Your future duties and responsibilities:


. Design, build, and maintain end to end machine learning pipelines and MLOps workflows.
. Develop, train, evaluate, and optimize machine learning models using Python and industry standard ML libraries.
. Implement model lifecycle management using MLflow, including experiment tracking, model registration, versioning, and deployment.
. Automate model deployment processes using CI/CD pipelines and GitHub Actions.
. Monitor deployed models for performance, drift, reliability, and operational health.
. Define and implement model performance metrics, monitoring dashboards, and alerting mechanisms.
. Develop and maintain RESTful APIs and backend services using FastAPI.
. Design scalable database schemas and data access layers using PostgreSQL and SQLAlchemy ORM.
. Deploy and manage containerized applications using Amazon ECS and Amazon ECR.
. Configure and manage cloud native services including Amazon API Gateway, Application Load Balancer (ALB), Amazon RDS, and Amazon S3.
. Collaborate with cross functional teams to ensure secure, scalable, and maintainable AI/ML solutions.
. Participate in code reviews, architecture discussions, and continuous improvement initiatives.
. Troubleshoot production issues and optimize application and infrastructure performance.
. Contribute to AI/ML platform enhancements and adoption of best practices across engineering teams.

Required qualifications to be successful in this role:


At least 3+years of hands on experience in Machine Learning Engineering or MLOps.


Strong experience with:
o MLflow for experiment tracking and model lifecycle management.
o Spark ML and distributed machine learning workflows.
o Python and ML libraries such as Scikit learn, Pandas, NumPy, TensorFlow, or PyTorch.
o Model training, evaluation, and performance optimization.
o Model registration, versioning, and lifecycle management.
o Production model deployment and CI/CD automation.
o Model monitoring, observability, and performance metrics tracking.
o GitHub Actions for build, deployment, and automation workflows.

AWS Cloud Services (2+ Years)
. Minimum 2 years of experience building and deploying applications on AWS.

Hands on experience with:
o Amazon ECS for container orchestration and application runtime.
o Amazon ECR for container image management.
o Amazon API Gateway for API publishing and routing.
o Amazon RDS for managed relational databases.
o Application Load Balancer (ALB) for traffic management and scaling.
o Amazon S3 for artifact management and object storage.
. Experience implementing secure, scalable, and highly available cloud architectures.

Backend Development (1+ Year)
. Minimum 1 year of backend application development experience.

Experience with:
o FastAPI based application and service development.
o REST API design, implementation, and documentation.
o SQL programming and relational database concepts.
o PostgreSQL database administration and optimization.
o SQLAlchemy and ORM based data modeling.
o Database schema design and relationship mapping.


Desired qualifications/non essential skills required:
Agentic AI
. Experience building AI agents, autonomous workflows, or multi agent systems.
. Familiarity with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.

Databricks (2+ Years)
. Experience working with Databricks platform components, including:
o Unity Catalog for governance and data access management.
o Jobs and Workflows for orchestration and automation.
o Workspace and access management.
. Experience integrating Databricks with enterprise ML and data engineering workflows.

Education: Bachelor's degree in computer science or related field.

#LI-ARK1

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 $80,600.00 $218,200.00.

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:

• FastAPI
• Amazon Web Services Cloud
• Data Engineering
• Data Engineering
• Databricks
• Machine Learning
• Agentic AI
• Continuous Integration
• Postgre SQL
• RESTful (Rest-APIs)
• 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 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 View email address on click.appcast.io. 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.