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Implements and evaluates machine learning components under senior guidance, supporting data preparation, feature engineering, NLP/NLU experiments, retrieval and LLM pipelines, and model evaluation. Contributes to prototype and production AI services using Python and ML frameworks. Learns deployment, containerization, API, monitoring, and model lifecycle practices while participating in code reviews, sprint planning, documentation, and collaborative software development.

Embed security into CI/CD and cloud platforms for DoD-aligned environments. Own container/image scanning and patching, Kubernetes admission controls, IaC security, SBOM and secrets workflows, cloud IAM hardening across AWS/Azure, support airgapped and government cloud deployments, automate compliance-as-code (STIG/RMF/CKLB), and prepare RMF/ATO and accreditation documentation.

Own CI/CD pipeline execution and deployments, build and maintain IaC, containerize and deploy applications, manage secure networking and hardening, support secure/cloud-isolated environments, troubleshoot infrastructure, maintain observability, and handle patching, vulnerability scanning, and compliance workflows.

Design, build, and lead scalable backend services and microservice architectures (Python or Java). Define REST APIs, improve reliability and observability, diagnose production issues, guide CI/CD and deployment automation, optimize databases (SQL/NoSQL/search), enforce secure SDLC practices, mentor engineers, and collaborate with cloud, platform, and security teams to deliver hardened mission applications.

Design and implement end-to-end ML/NLP workflows (semantic search, classification, entity resolution, retrieval/RAG). Build production AI services, integrate with data/backend systems, support deployment/monitoring/versioning, evaluate performance, and contribute to architecture and mission-aligned solutions.

Design, build, and maintain backend services and RESTful APIs (Python or Java). Own feature delivery, optimize SQL/NoSQL schemas, contribute to CI/CD and containerized deployments, troubleshoot systems, document APIs, and mentor junior engineers. Collaborate with DevOps, security, and platform teams to deliver secure, production-ready services.

Design, build, and maintain backend services and RESTful APIs in Java and/or Python. Own feature delivery across development, testing, deployment, monitoring, and iterative improvement. Optimize relational and NoSQL schemas, troubleshoot systems, contribute to CI/CD and containerized deployments, participate in architecture and reliability improvements, document APIs, and mentor junior engineers.

Develop and maintain backend services using Python or Java. Build and consume RESTful APIs, work with SQL/NoSQL databases, implement ETL/data transformations, write testable code, participate in code reviews, use Git and CI/CD practices, and support integrations and debugging in mission-driven environments.

Lead cross-functional execution of mission-critical AI and data platform programs for DoD/IC. Translate mission needs into delivery plans, track dependencies and risks, coordinate deployments across security domains, support accreditation and operational approval, run readiness and cutover activities, maintain program artifacts, and communicate technical status and tradeoffs to stakeholders to ensure mission readiness.

Own customer relationships for mission-focused AI platform deployments: onboard and train users, coordinate delivery and issue resolution, track outcomes and adoption, surface customer feedback, and support growth and renewal opportunities.