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AI/ML Engineer (R-00194)

3 weeks, 5 days ago
Anywhere
Full-time
Senior
Machine Learning Engineer
Software Development
CI/CD Cybersecurity Feature Engineering Generative AI LLM Machine Learning Microservices MLOps Python
Apply Now
True Zero Technologies

True Zero Technologies

True Zero Technologies specializes in cybersecurity programs and software solutions, focusing on proactive defense and IT engineering services.

Internet Software & Services
11-50
Founded 2016
View All Jobs 29

Description

  • Build and integrate AI/ML capabilities across the full lifecycle, from data preparation through deployment, evaluation, and monitoring.
  • Design, develop, test, and operationalize AI/ML solutions aligned to mission and business requirements.
  • Translate operational use cases into scalable AI/ML architectures, services, and integration patterns.
  • Develop APIs, services, and application integrations that expose AI/ML capabilities to mission applications and enterprise platforms.
  • Collaborate with application, data, cloud, cybersecurity, and mission stakeholders throughout the solution lifecycle.
  • Conduct technical evaluations and proof-of-concepts for proposed AI/ML technologies and GovCloud services.
  • Maintain technical documentation for architecture, model behavior, interfaces, dependencies, deployment, and operations.
  • Develop production-quality AI/ML applications and supporting services using Python.
  • Build reusable Python modules, automation, and utilities for data processing, inference, evaluation, and integration.
  • Design and implement Generative AI and RAG workflows, including ingestion, retrieval, prompt construction, and model inference.

Requirements

  • Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline.
  • Strong Python development skills.
  • Experience with Generative AI, foundation models, and RAG architectures, where applicable to program scope.
  • Experience with embeddings, vector search, semantic retrieval, prompt engineering, and LLM evaluation.
  • Experience with supervised or unsupervised machine learning, feature engineering, model training, and model selection when traditional ML is in scope.
  • Familiarity with MLOps or LLMOps practices for model and application lifecycle management.
  • Experience developing automated model and application evaluation frameworks.
  • Familiarity with responsible AI concepts, including bias evaluation, explainability, traceability, and human oversight.
  • Experience deploying containerized workloads and microservices.
  • Experience working in government, defense, regulated, or other security-sensitive environments.
  • Preferred certifications: AWS Certified AI Practitioner and AWS Certified Machine Learning Specialty.

Benefits

  • Competitive salary, paid twice per month.
  • Best-in-class medical coverage with 100% of medical premiums covered by True Zero.
  • Company-wide new business incentive programs.
  • Contribution incentives for white papers, blog posts, internal webinars, and similar activities.
  • 3 weeks of PTO plus 11 paid holidays annually.
  • 401(k) program with 100% company match on the first 4%.
  • Monthly reimbursement for cell phone and home internet costs.
  • Paternity/maternity leave.
  • Investment in training and certifications.

Interested in this position?

Apply directly on the company website

Apply Now

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