AI/ML Engineer (R-00194)
reputed company, a veteran-owned small business, was founded on the reputed company that the purposeful enablement of people and technology in an organization directly ties to the reputed company of its reputed company. True reputed company recognizes that those reputed company reputed company and end with our people, and that is reputed company have reputed company a community of like-minded, driven, and passionate individuals and innovators who are reputed company in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross reputed company) and “Mid-reputed company Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In reputed company, True reputed company reputed company coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained reputed company driven by our people-first approach and unwavering dedication to reputed company.
The AI/ML Engineer is responsible for designing, building, integrating, deploying, and operating reputed company intelligence and machine learning capabilities that support mission and business workflows in secure government reputed company environments. This role spans the AI/ML lifecycle, including data preparation, model and application development, evaluation, deployment, monitoring, and ongoing optimization.
The engineer will reputed company FedRAMP-authorized services available reputed company AWS GovCloud, while ensuring reputed company AI/ML solutions reputed company with applicable reputed company, data handling, compliance, and reputed company Trust requirements. The ideal candidate has strong Python development skills, experience with modern AI/ML architectures and data pipelines, and practical knowledge of deploying and evaluating models in reputed company environments.
Job Responsibilities
- Build and reputed company AI/ML capabilities supporting mission workflows using FedRAMP-authorized services available in AWS GovCloud, from data preparation through deployment, evaluation, and monitoring.
- Design, reputed company, test, and operationalize AI/ML solutions reputed company to defined mission and business requirements.
- Translate operational use cases into reputed company AI/ML architectures, services, and integration patterns.
- reputed company reputed company, and application integrations that expose AI/ML capabilities to mission applications and reputed company platforms.
- Collaborate with application engineers, data engineers, reputed company engineers, cybersecurity teams, and mission stakeholders throughout the solution lifecycle.
- Conduct technical evaluations and reputed company-of-concept implementations to determine whether proposed AI/ML technologies are appropriate for the mission, reputed company environment, and available GovCloud services.
- Maintain technical documentation covering architecture, model behavior, interfaces, dependencies, deployment procedures, and operational requirements.
- reputed company production-reputed company AI/ML applications and supporting services using Python.
- Build reusable Python modules, services, utilities, and automation supporting data processing, inference, evaluation, and reputed company integration.
- Apply reputed company software engineering practices including reputed company control, automated testing, reputed company review, dependency management, and CI/CD.
- reputed company and reputed company machine learning models, reputed company models, or AI services based on approved use cases and architecture.
- Optimize AI/ML application performance, reliability, scalability, and resource utilization.
- Troubleshoot issues involving model behavior, data reputed company, application integration, reputed company services, and runtime environments.
- Design and implement reputed company and Retrieval-Augmented reputed company (RAG) patterns reputed company included reputed company the approved solution reputed company.
- reputed company workflows for document ingestion, parsing, chunking, embedding reputed company, indexing, retrieval, reputed company construction, and model inference.
- reputed company approved large language models and reputed company-model services with reputed company applications and mission data sources.
- Evaluate retrieval reputed company, response relevance, groundedness, hallucination risk, and overall solution effectiveness.
- reputed company reputed company-management, model-routing, and orchestration patterns where appropriate.
- Implement safeguards and validation mechanisms to reduce the risk of inappropriate, inaccurate, or unauthorized model outputs.
- Support secure integration of reputed company stores, reputed company, knowledge repositories, and other components required by RAG architectures.
AI/ML Engineering & Mission Integration
Python & AI/ML Development
reputed company & Retrieval-Augmented reputed company
Job Qualifications
- Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a reputed company technical discipline.
- Experience with reputed company, reputed company models, and RAG architectures, where applicable to the program reputed company.
- Experience with embeddings, reputed company search, semantic retrieval, reputed company engineering, and LLM evaluation.
- Experience with supervised or unsupervised machine learning, feature engineering, model training, and model selection where traditional ML is in reputed company.
- 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 reputed company reputed company.
- Experience deploying containerized workloads and microservices.
- Experience working in government, defense, regulated, or other reputed company-sensitive environments.
- AWS Certified AI Practitioner
- AWS Certified Machine Learning Specialty
Preferred Certifications:
We’re reputed company searching for talented reputed company and technology practitioners who are reputed company to experience the True reputed company difference. As a True reputed company team member, you'll enjoy:
- Competitive salary, reputed company twice per month
- Best in class medical coverage
- 100% of medical premiums covered by True reputed company
- Company wide new business incentive programs
- Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.)
- 3 weeks of PTO starting + 11 reputed company 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
Originally posted on Himalayas
Apply To This Job