Job Url: https://www.remoterocketship.com/company/trexsolutionsllc/jobs/senior-ai-ml-engineer-united-states-remote Job Description: T-Rex Solutions, LLC Website LinkedIn All Job Openings T-Rex Solutions is a company that specializes in IT modernization and cybersecurity services for Federal agencies. They have a strong focus on agile transformation, cloud adoption, and infrastructure optimization. T-Rex Solutions has been recognized for its commitment to quality, achieving a CMMI Level 3 appraisal, and has received several workplace awards for its remote work environment. The company is known for its strategic partnerships, especially with government entities like the U. S. Census Bureau, where they contributed to moving the Census online. T-Rex Solutions also engages in community service and supports veterans, demonstrating a commitment to social impact beyond their IT services. SOA β€’ Operations and Maintenance β€’ Program Management β€’ Cybersecurity β€’ Mission Critical Services 201 - 500 employees πŸ”’ Cybersecurity πŸ›οΈ Government Senior AI/ML Engineer July 16 πŸ‡ΊπŸ‡Έ United States – Remote πŸ’΅ $145k - $175k / year ⏰ Full Time 🟠 Senior πŸ€– Machine Learning Engineer AWS Cloud Cyber Security Python Spark SQL Apply Now Receive Emails with Similar Jobs Report problem πŸ“‹ Description β€’ T-Rex Solutions is looking to select a Senior AI/ML Engineer to support the US Department of the Treasury TCloud enterprise cloud development effort. β€’ As an AI/ML Engineer, you will play a central role in building reusable patterns, advancing infrastructure readiness, and ensuring all platform services meet the technical, compliance, and performance standards required for IRS-wide production use. β€’ Build and maintain robust pipelines for data ingestion, exploration, feature engineering, and model training across Databricks and AWS-native services. β€’ Operationalize tools such as MLFlow for experiment tracking, model registry, versioning, and lifecycle governance. β€’ Integrate with T-Cloud Bitbucket and CI/CD pipelines (e.g., Bamboo) to enable secure, traceable development workflows. β€’ Configure and manage IRS-compliant AWS S3 feature stores, ensuring UNAX-compliant isolation and secure access per team. β€’ Develop and orchestrate AWS services (Lambda, RDS, SNS, EventBridge) to support automated model promotion and metadata tracking. β€’ Support GenAI enablement by engineering reusable, secure pathways for customers to leverage AWS Bedrock and SageMaker for LLM-based applications. β€’ Collaborate across the Infrastructure, Customer Success (CSx), and ATO/OneSDLC teams to support onboarding and productionalization for IRS customer use cases. β€’ Implement and maintain Responsible AI tooling, including the Responsible AI Toolbox, to support auditability and ethical deployment practices. β€’ Produce high-quality documentation and reusable code artifacts that simplify customer experience and platform adoption. β€’ Support platform-wide upgrades (e.g., Databricks E2), refactoring of inherited IaC, and improvements in CI/CD automation and monitoring. 🎯 Requirements β€’ Must be a US Citizen with the ability to obtain a Public Trust clearance β€’ Bachelors degree and seven (7) years or more of related experience or Masters and five (5) or more years of related experience. β€’ Strong experience in AI/ML engineering, with significant hands-on experience using Databricks, JupyterHub, and AWS AI/ML services (e.g., SageMaker, Bedrock, Lambda, RDS, S3). β€’ Proficient in Python, SQL, Spark, and machine learning frameworks used in both model development and deployment. β€’ Demonstrated experience with MLFlow, CI/CD pipelines, infrastructure-as-code, and Git-based version control. β€’ Deep familiarity with building secure, compliant ML infrastructure in a regulated federal environment. πŸ–οΈ Benefits β€’ PTO available to use immediately upon joining (prorated based on start date) β€’ paid parental leave β€’ individual and family health, vision, and dental benefits β€’ annual budget for training β€’ professional development and tuition reimbursement β€’ 401(k) plan with company match fully vested after 60 days of employment