Top 8 Machine learning engineer Jobs in Chambersburg, Pa

AI/ML Engineer
CGI Group, Inc. —United States
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays

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AI/ML Engineer

CGI Group, Inc. -
United States

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Job Details

$102,000 - $251,100 a year

Benefits

Paid parental leave
Paid holidays
Tuition reimbursement
Paid time off
Parental leave
401(k) matching

Qualifications

AI models
Containerization systems
TensorFlow
Software engineering
Azure
Data transformation pipeline development
CSS
PyTorch
Infrastructure as Code (IaC)
Enterprise software
Generative models
AI platforms (beyond public GPTs)
Enterprise software systems development
JavaScript frameworks
Prompt engineering
Java
SQL
Production systems
Machine learning cloud services
Machine intelligence
Bachelor's degree
Model deployment
Neo4j
Terraform
Developing large-scale AI models
Software testing
Agile software development
Model training
Front-end component implementation
Cloud automation

Full Job Description

Position Description:

CGI is actively seeking a Senior AI/ML and Emerging Tech Expert to join our Emerging Technologies Practice and lead the design and delivery of AI driven applications across our Federal Portfolio. You will work end to endfrom proofs of concept to productionpartnering with solution architects, data scientists, and engineering teams to turn ideas into scalable, secure solutions. This role blends full stack engineering with modern AI/ML, integrating generative AI and advanced analytics within Azure, AWS, and GCP to achieve tangible business outcomes. If you are a creative problem solver who thrives in fast moving, highly collaborative environments, come help us push the boundaries of AI and emerging technologies.
This position is located in our Knoxville, TN, Lafayette LA, Belton TX, Lebanon VA, Fairfax VA office; however, candidates proximate to a CGI Federal office in the US will be considered. CGI utilizes a hybrid model and CGI partners should be prepared to work in a local CGI Federal office or client site, as needed.

Your future duties and responsibilities:

Role Duties
.AI/ML Solutioning & Delivery
oDesign, build, and deploy AI/ML solutions and generative AI applications; architect complex AI pipelines.
oHarness large datasets; conduct data mining/analysis; design algorithms and simulations; optimize models for real world performance and cost.
.Full Stack Engineering
oImplement front end (HTML/CSS/JavaScript; React or Angular) and back end services (Python/Flask/Django; Node.js; Java) that integrate AI capabilities.
oDevelop robust APIs and microservices; ensure seamless functionality and exceptional UX across platforms.
.Cloud & DevSecOps
oDeliver against strategic roadmaps for AI and Analytics architectures across Azure, AWS, GCP.
oPackage and deploy via containerization (Docker, Kubernetes); automate CI/CD (Jenkins, GitLab) and IaC (Terraform, AWS CloudFormation).
oEstablish best practices and patterns for AI & analytics; implement monitoring, observability, and model governance.
.Graph Database Development
oDesign, implement, and optimize GraphDB solutions (e.g., Neo4j, Amazon Neptune) for AI-driven applications.
oIntegrate graph-based data models into AI pipelines for knowledge graphs, entity relationships, and semantic search.
.Collaboration & Client Engagement
oWork closely with data scientists and software engineers to integrate AI into enterprise systems.
oCoordinate with client and engineering teams to build, monitor, and maintain solutions.
oSupport client development opportunities and contribute to thought leadership and demos/POCs

Required qualifications to be successful in this role:

. US Citizenship is required per contract
. Ability to obtain a Secret clearance

Education

oBachelor's and 8 yrs exp required in Computer Science, Software Engineering, Artificial Intelligence & Machine Learning, related field.

Experience

o5+ years designing, developing, and deploying AI/ML or advanced software solutions.
oProven experience designing and integrating AI/GenAI into products and enterprise applications.
oDemonstrated success delivering full stack solutions that embed AI capabilities.
oHands-on experience with GraphDB engineering and development (Neo4j, Amazon Neptune, or similar).

Technical Skills

oProgramming: Python (expert) plus Java
oML/Deep Learning: TensorFlow, PyTorch; model training, tuning, serving, and monitoring.
oGenerative AI: hands on with LLMs; prompt engineering; fine tuning; RAG patterns; vector databases.
oWeb & APIs: HTML/CSS/JS; React or Angular; Node.js/Python/Java back ends; REST/GraphQL.
oDevOps/MLOps: Docker, Kubernetes, Terraform, AWS CloudFormation; CI/CD with Jenkins/GitLab/Bitbucket; testing frameworks; package managers.
oCloud: Production experience on Azure, AWS, and GCP.
oData: SQL and NoSQL databases; GraphDB; data pipelines; feature stores.

Professional

oExcellent problem solving, verbal and written communication.
oAbility to work independently and within agile teams.
oStrong collaboration skills across cross functional stakeholders

Desired qualifications/non-essential skills required:
.Advanced degree (Master with 6 years exp /PhD with 3 years exp) in AI/ML or related field.
.Certifications in Azure/AWS/GCP; Kubernetes, Terraform, or ML specific certifications are a plus.
.Deep proficiency in Generative AI, including RAG, LLM orchestration frameworks, and model lifecycle governance.
.Portfolio of successful AI projects; evidence of thought leadership (POCs, publications, OSS contributions).
.Familiarity with federal sector standards (e.g., secure SDLC, data governance, compliance frameworks) and industry AI use cases.
.Strong client facing skills: solution storytelling, demos, and executive level presentations

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 $102,000.00 - $251,100.00.
CGI Federal or CGI anticipates accepting applications for this position through May 15, 2026.
CGI Federal'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
#CGIFederalJob
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What you can expect from us:

Together, as owners, lets turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.

Your work creates value. Youll 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.

Youll shape your career by joining a company built to grow and last. Youll 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 teamone 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 [email protected]. 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.

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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 CGIs legal duty to furnish information.

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machine learning engineer jobs in chambersburg, pa

AI/ML Engineer

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