AI/ML Platform Engineer
Indexed description
Altamira believes that our people and the culture of our company differentiate us from other companies. We focus on recruiting talented, self-motivated employees that strive to find a way to get things done.
Position Overview
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.
Key Responsibilities
- 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
- 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
- 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
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