AI/ML Data Engineer, (Consultant, Data & Analytics)

Category: Engineering, IT & Systems Administration reqId: P-100257 Posted Date: 08/28/2026 Work Environment: Remote Exempt widget: Full Time Location: Baltimore, Maryland, United States Public Trust No Travel

Job Requirements

We are seeking an AI/ML Engineer as part of our Consultant, Data & Analytics career path to build and operate production-grade AI and machine learning capabilities for a large federal agency's enterprise data modernization initiative. This role supports a cloud-native data platform that enables secure, scalable, and data-driven decision-making across the agency through platform engineering, data governance, and AI/ML enablement. Rather than supporting a single application, this work builds the shared technology foundation that delivers reusable AI solutions, model monitoring, and responsible AI practices to customers across the enterprise. This is a fully remote role.

At Fearless

, the consultant is responsible for leveraging data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data. This role will possess and/or develop the skills to be able to span the domains of data analysts, engineers, and scientists at a practical application level of proficiency. This Consultant role will work on projects that allow them to design solutions that support decision-making, optimize operations, and enable data-driven innovation.

Your Responsibilities in this Role

• Build and deploy AI/ML capabilities using Azure Machine Learning, Azure AI Services, and Databricks to productionize models across the enterprise data platform.
• Implement MLOps practices to automate model training, validation, deployment, and monitoring workflows.
• Develop reusable AI solution patterns and templates that enable predictive modeling, natural language processing, and generative AI use cases.
• Integrate AI/ML capabilities with shared data engineering, platform, a