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** **AI/ML Engineer** **(Consultant, Data \& Analytics)** 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, and governance services to ensure scalable, reusable enterprise solutions. * Implement model monitoring, guardrails, and explainability features to ensure AI solutions comply with privacy, safety, fairness, and Trustworthy AI requirements. * Support AI pilot initiatives, customer onboarding, and enablement by providing guidance on AI solution design, model deployment, and responsible AI practices. * Coordinate with platform engineering teams to ensure AI solutions leverage shared infrastructure and comply with enterprise governance standards. * Collaborate with engineers, data scientists, governance teams, and business stakeholders to identify AI/ML opportunities, support pilot implementations, and deliver production\-ready AI solutions. **The Impact You Will Create in this Role:** **Fearless Impact:** * Collaborates with cross functional teams * Earn the trust of your customer and teammates by delivering world class services. * Be rel