Responsibilities
- Provide AI/ML engineering support for applied AI features and capabilities.
- Build, train, evaluate, and deploy machine learning models.
- Develop and maintain ML CI/CD pipelines and model registries.
- Implement model monitoring, drift detection, and performance tracking.
- Maintain audit-ready model lineage, documentation, and reproducible training workflows.
- Produce model cards and supporting performance evidence.
- Collaborate with Agile teams and platform engineering teams to integrate AI capabilities.
- Support deployment across development, staging, and production environments.
- Bachelor’s degree in a relevant discipline.
- 5+ years of progressively responsible experience in enterprise information technology.
- Hands-on experience developing and deploying machine learning models.
- Experience with MLOps tools, automation, and CI/CD pipelines.
- Experience working in cloud environments and containerized platforms.
- Strong analytical, troubleshooting, and collaboration skills.
- AWS DevOps Engineer Certification
- CompTIA Security+ Certification
Preferred qualifications
- Experience supporting DoD or federal programs.
- Experience with Kubernetes or container orchestration platforms.
- Experience with cloud-native ML services or platforms.
- Cloud ML certifications.
Benefits
- Comprehensive Medical, Dental, and Visions Plans
- Life Insurance
- Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
- 401K Retirement Plan with employer match
- Professional Development Training Reimbursement
- Flexible/remote work schedule.
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Machine Learning Mlops