Software Engineer - Journeyman Level (AI/ML Engineering)

Job Title: Software Engineer (Journeyman) – AI/ML Engineering
Location: Arlington, VA
Clearance: Secret
Type: Full-time, W2

About VivSoft:
VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in the federal space. Our work culture fosters collaboration, creativity, and continuous learning.

Job Summary:
We are seeking a Journeyman Software Engineer specializing in AI/ML Engineering to support the development of applied artificial intelligence capabilities within a federal program. This role will focus on building, deploying, and operationalizing machine learning models while supporting MLOps practices and automated pipelines. The ideal candidate brings hands-on experience with model lifecycle management, CI/CD for ML, and production deployment of AI solutions.

Key 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.

Skills Required:

• 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:

• Experience supporting DoD or federal programs.
• Experience with Kubernetes or container orchestration platforms.
• Experience with cloud-native ML services or platforms.
• Cloud ML certifications.

• 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.