AI/ML Engineer

🕒 August 14

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 52%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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True Zero Technologies, LLC

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

True Zero Technologies, LLC is a veteran-owned company specializing in cybersecurity solutions. The company offers a range of services including security engineering and architecture, emerging technology adoption, cyber operations, cyber threat intelligence, penetration testing, and information assurance. True Zero is also recognized for its managed services and cloud security capabilities. The company partners with technology leaders such as Tanium, Splunk, Cribl, and Zscaler to deliver high-impact, high-value solutions that help organizations innovate while enhancing their security and operational programs. True Zero is committed to empowering organizations with actionable insights to secure their IT environments effectively.

📋 Description

• Build and integrate AI/ML capabilities supporting mission workflows using FedRAMP-authorized services available in AWS GovCloud, from data preparation through deployment, evaluation, and monitoring • Design, develop, test, and operationalize AI/ML solutions aligned to defined mission and business requirements • Translate operational use cases into scalable AI/ML architectures, services, and integration patterns • Develop APIs, services, and application integrations exposing AI/ML capabilities to mission applications and enterprise platforms • Collaborate with application engineers, data engineers, cloud engineers, cybersecurity teams, and mission stakeholders throughout the solution lifecycle • Conduct technical evaluations and proof-of-concept implementations of AI/ML technologies • Maintain technical documentation covering architecture, model behavior, interfaces, dependencies, deployment procedures, and operational requirements • Develop production-quality AI/ML applications and supporting services using Python • Build reusable Python modules, services, utilities, and automation for data processing, inference, evaluation, and system integration • Apply source control, automated testing, code review, dependency management, and CI/CD • Develop and integrate machine learning models, foundation models, or AI services • Optimize AI/ML application performance, reliability, scalability, and resource utilization • Troubleshoot model behavior, data quality, application integration, cloud services, and runtime issues • Design and implement Generative AI and Retrieval-Augmented Generation (RAG) patterns • Develop document ingestion, parsing, chunking, embedding, indexing, retrieval, prompt construction, and model inference workflows • Integrate approved large language models and foundation-model services with enterprise applications and mission data sources • Evaluate retrieval quality, response relevance, groundedness, hallucination risk, and solution effectiveness • Develop prompt-management, model-routing, and orchestration patterns • Implement safeguards and validation mechanisms to reduce inappropriate, inaccurate, or unauthorized model outputs • Support secure integration of vector stores, search services, knowledge repositories, and other RAG components

🎯 Requirements

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline • Experience with Generative AI, foundation models, and RAG architectures, where applicable to the 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 where 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 model limitations, 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; AWS Certified Machine Learning Specialty

🏖️ Benefits

• Competitive salary, paid twice per month • Best in class medical coverage • 100% of medical premiums covered by True Zero • Company wide new business incentive programs • Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.) • 3 weeks of PTO starting + 11 Paid Holidays Annually • 401k Program with 100% company match on the first 4% • Monthly reimbursement of Cell Phone and Home Internet costs • Paternity/Maternity Leave • Investment in training and certifications to broaden and deepen your technical skills

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