Top 16 Ai/ml engineer Jobs in Evansville, In

Lead DevSecOps Systems Engineer
General Dynamics Information Technology —Indiana
- $212,500 - $287,500 a year
- Hybrid work
- Bachelor of Science
- 8 years
- AWS
- Paid holidays
- Dental insurance
Head of Materials AI / all genders / Part-Fulltime
Merck KGaA —Darmstadt, IN
- Full-time
- Computer Science
- Doctor of Philosophy
- Experience equivalent to degree accepted
Senior Computer Vision Engineer
Matrix Design Group —Newburgh, IN
- Full-time
- 7 years
- Computer Science
- Windows
- AD&D insurance
- Paid holidays
Quick Apply
Analytics Engineer
S5 Stratos —United States
- Full-time
- Remote
- Background check
- Computer Science
- SQL
- Health insurance
- Dental insurance
Quick Apply
AI/ML Engineer
CGI Group, Inc. —United States
- $102,000 - $251,100 a year
- Azure
- Computer Science
- Office
- Paid parental leave
- Paid holidays
Intelligent Automation Engineer - AI/ML & RPA
CGI Group, Inc. —United States
- $110,600 - $160,400 a year
- Computer Science
- Writing skills
- Maintenance
- Paid parental leave
- Paid holidays

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Head of Materials AI / all genders / Part-Fulltime
Merck KGaA —Darmstadt, IN
Advanced degree (PhD or equivalent) in computer science, data science, chemistry, materials science, or a related field, or equivalent experience.

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Mid-level Vulnerability Researcher
Battelle —Columbus, OH
Bachelor’s degree in related field with 5 years of experience; or Master’s degree in related field with 2 years of experience; or PhD in related field; or an…
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VertiSystem Inc —Columbus, OH
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Lead DevSecOps Systems Engineer

General Dynamics Information Technology -
Indiana

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Job Details

$212,500 - $287,500 a year

Benefits

Internal mobility program
Paid holidays
Dental insurance
Vision insurance
401(k) matching

Qualifications

AI models
Optimizing workflow processes
Containerization systems
Performance tuning
Continuous Delivery (CD) implementation
Linux support
Infrastructure as Code (IaC)
Systems architecture experience within technology
System performance optimization
Generative models
Configuration management
Process improvement
Git
Team leader (DevOps)
AI platforms (beyond public GPTs)
Scalable systems
Infrastructure architecture design
Information security compliance
AWS
Professional development support
Team training
Version control systems
Mentoring
Regulatory Frameworks (Architecture security)
Cloud Native Design
Leading team collaboration initiatives
Scalability
Cloud compliance
Cloud automation
Technical troubleshooting support

Full Job Description

Your Impact

Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.

Job Description

Help us simplify the complex as a Lead DevSecOps Systems Engineer at GDIT, where we tailor advanced cloud solutions to critical client missions. In this role, your priority will be engineering seamless, secure platform experiences for our development teams, while we focus on supporting your professional growth.

Our work on the AED program depends on a senior engineer ready to own and evolve our cloud footprint. You’ll leverage a modern stack—including Terraform, Docker, Kaniko, Helm, and Kubernetes—to maintain and scale a highly secure, automated Software-Defined Data Center (SDDC).

HOW A Lead DevSecOps Systems Engineer WILL MAKE AN IMPACT:

Architect and scale robust, secure CI/CD pipelines, data integrations, and Infrastructure as Code (IaC) across project-based deployments.
Partner with development teams to seamlessly integrate, automate, and monitor security tool components within automated workflows.
Define guidelines and standards for AWS Cloud and Kubernetes environments, implementing advanced solutions for system security, backups, and redundancy.
Champion DevSecOps culture by mentoring junior/mid-level engineers, educating teams on modern tooling, and resolving complex configuration or performance issues.
Leverage Generative AI engineering tools (such as Claude, Gemini, Copilot) to accelerate the development of Infrastructure as Code (IaC), pipeline scripts, and automation workflows.
Optimize cloud infrastructure and container ecosystems to ensure cost-efficiency, scalability, and strict adherence to governance standards.
Drive engineering excellence by guiding the preparation of comprehensive technical documentation, processes, and procedures.

WHAT YOU’LL NEED TO SUCCEED:

Technical Expertise:

Education & Experience: BA/BS Degree and 8+ years of relevant experience (or an equivalent combination of education and experience).
Cloud Architecture: Proven experience architecting and managing scalable AWS Cloud infrastructure.
Generative AI Infrastructure: Hands-on experience deploying or supporting Generative AI development workflows, with specific familiarity utilizing AWS Bedrock or similar cloud-native AI/ML services.
Container & Orchestration Mastery: Strong expertise deploying, performance tuning, and troubleshooting Kubernetes clusters utilizing Helm, Docker, container registries, and secure build tools like Kaniko.
Infrastructure as Code (IaC): Deep hands-on experience building and maintaining Infrastructure as Code configurations using Terraform.
Pipeline Automation: Proven experience designing and implementing end-to-end CI/CD pipelines, automated security gates, and advanced Git version control workflows.
Configuration & OS: Strong proficiency in automation scripting (Ansible, Bash, or Python) and Linux/Unix system administration (RHEL or CentOS preferred).
Compliance: Active Security+ Certification and familiarity with government standards for security, identity, and data management (e.g., NIST, FedRAMP, IAM).

Leadership & Professional Skills:

Team Leadership Potential: Demonstrated capability or strong desire to mentor junior/mid-level engineers, drive technical consensus, and serve as a technical anchor for the team.
Problem Solving: Exceptional critical thinking skills with a proven track record of delivering simple, elegant solutions to highly complex platform problems.
Communication: Highly effective communication and collaboration skills, with the ability to bridge technical concepts between development teams and program stakeholders.
Growth Mindset: A strong commitment to continuous learning, engineering best practices, and driving process improvements.

GDIT IS YOUR PLACE:

True Work-Life Autonomy: Enjoy a full-flex work week designed to give you ownership over your personal and professional priorities.
Total Well-being: Comprehensive health, dental, vision, and wellness packages to support you and your family.
Invested in Your Wealth: A robust 401(k) program with a competitive company match.
Continuous Technical Evolution: Access to paid advanced certifications, higher education, and dedicated professional growth opportunities to keep your skills sharp.
Internal Career Mobility: A dedicated internal talent team focused entirely on helping you navigate and advance your career path within GDIT.
Scale & Innovation: Work with complex, mission-critical technologies and modern infrastructure frameworks that make a tangible impact.
Rest & Recharge: Generous paid vacation, floating holidays, and time off to ensure you maintain peak performance.

#EDopportunities

Work Requirements

Years of Experience

8 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

Travel Required

10-25%

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $212,500 - $287,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

Our Identity Verification Process

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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Refine Your Search

ai/ml engineer jobs in evansville, in

Lead DevSecOps Systems Engineer

Head of Materials AI / all genders / Part-Fulltime

Senior Computer Vision Engineer

Analytics Engineer

AI/ML Engineer

Intelligent Automation Engineer - AI/ML & RPA

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