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Altamira is seeking a AI/ML Platform Engineer to support the design, development, and deployment of an AI/ML Sandbox with secure, mission-critical environments. This role focuses on building and maintaining the work area enabling data-driven applications. The ideal candidate brings hands-on experience developing AI/ML environments, working with business / intelligence analysts to design, implement, and test AI/ML based analytic tools using one or more of the following frameworks. Candidate should be able to establish and maintain AI/ML enabling infrastructure using COTS, GOTS, and FOSS tools.
Job Responsibility:
Design, develop, and maintain AI/ML sandbox type enviornments
Develop and optimize applications utilizing: Kubernetes & Docker
KubeFlow
MLFlow
Bedrock
FastAPI
Ray Train
Tune
Safe Tensors
ONNX
Support application packaging, versioning, and release management processes
Collaborate with platform, infrastructure, and security teams to support system requirements
Implement best practices for scalability, reliability, and performance
Troubleshoot application, database, and deployment issues in distributed environments
Support continuous integration and deployment (CI/CD) pipelines
Participate in system accreditation, compliance, and audit activities
Document system designs, configurations, and operational procedures
Requirements:
TS/SCI clearance
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
Entry level to 10+ years of experience in software or AI/ML development roles
Experience with the above mentioned tools and applications
Ability to operate in secure, compliance-driven environments
Nice to have:
Experience developing distributed or data-intensive applications
Experience supporting DoD or Intelligence Community programs
Experience with CI/CD tools and automation frameworks
Familiarity with Infrastructure as Code tools
Experience with performance tuning and database optimization
Experience working in hybrid or air-gapped environments