AI/ML Engineer

🔥 0 minutes ago

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $100k - $115k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Trilogy Federal

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

💼 Consulting

📦 Logistics

🎖️ Defense

Consulting • Logistics • Defense

Trilogy Federal is a Management and IT consulting firm, specializing in performance transformation, program management, financial management, healthcare delivery, systems integration, information technology, and data analytics. Their expertise includes organizational and process transformation, strategic planning, change management, and digital workplace innovations. Trilogy Federal prides itself on its ability to rapidly improve clients' performance through tailored approaches and proven methodologies, serving various sectors with a focus on the federal civilian space. Their services also extend to financial management modernization, enterprise data management, and emerging technologies.

📋 Description

• Design, implement, and maintain enterprise AI/ML development and deployment capabilities using Azure Machine Learning, Azure Databricks, Azure AI services, and related technologies • Develop and maintain reusable AI/ML solution templates, development environments, and deployment patterns for predictive analytics, NLP, and generative AI applications • Build and optimize machine learning pipelines for data preparation, model training, evaluation, deployment, and performance monitoring • Implement MLOps practices, including model versioning, registry management, automated testing, deployment workflows, and reproducibility • Integrate AI/ML models and services with Summit data assets, enterprise applications, and approved cloud infrastructure • Implement responsible AI controls covering explainability, bias assessment, privacy safeguards, human oversight, and sensitive data handling • Develop monitoring capabilities for model drift, performance degradation, operational failures, and corrective actions • Implement generative AI safeguards including prompt management, output validation, access restrictions, and human-in-the-loop review • Collaborate with VA stakeholders, data engineers, and technical teams to evaluate use cases, assess feasibility, and establish production readiness criteria • Troubleshoot platform and deployment issues, optimize model performance and resource utilization, and support production operations • Develop technical documentation, implementation guidance, and reusable reference materials • Contribute findings, operational metrics, and recommendations to the Summit AI/ML Health Report and Government reporting requirements

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related technical discipline, or an equivalent combination of education and relevant professional experience • Seven or more years of professional experience in machine learning engineering, artificial intelligence development, data science engineering, or a related technical discipline • Demonstrated experience deploying, scaling, and supporting AI/ML solutions in enterprise production environments • Hands-on experience with Microsoft Azure AI/ML technologies, Azure Databricks, or comparable enterprise AI/ML platforms • Strong proficiency in Python and commonly used machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn • Experience developing machine learning pipelines for model training, evaluation, deployment, and monitoring • Experience implementing MLOps practices, including model registries, version control, automated testing, and CI/CD workflows • Knowledge of predictive modeling, natural language processing, and generative AI technologies and their practical enterprise applications • Experience integrating AI/ML solutions with enterprise data platforms, APIs, and cloud-based services • Understanding of responsible AI principles, including model explainability, bias mitigation, privacy protection, and human oversight • Strong analytical, troubleshooting, communication, and technical collaboration skills • Ability to meet VA personnel vetting, background investigation, and system access requirements • Ability to travel for 1-2 domestic business trips per year • Direct experience supporting VA or other federal agency AI/ML modernization initiatives preferred • Experience implementing enterprise AI/ML capabilities in Microsoft Azure Government cloud environments preferred • Experience developing and deploying LLM applications, including RAG and prompt orchestration preferred • Experience implementing enterprise-scale AI/ML monitoring preferred • Experience working with sensitive healthcare data, including PHI, and federal privacy and security requirements preferred • Experience developing reusable AI/ML accelerators, reference architectures, or self-service capabilities preferred • Familiarity with federal responsible AI guidance, including the NIST AI Risk Management Framework preferred • Microsoft Certified: Azure AI Engineer Associate or comparable AI/ML certification preferred

🏖️ Benefits

• Health, dental, and vision plans • Optional FSA • Paid parental leave • Safe Harbor 401(k) with employer contributions 100% vested from day 1 • Paid time off and 11 paid holidays • No cost group term life/AD&D plan, and optional supplemental coverage • Pet insurance • Monthly phone and internet stipend • Tuition and training reimbursement • Medical/dental/vision insurance coverage • Supportive work/life balance

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