AI/ML Data Engineer, (Consultant, Data & Analytics)
Company: Fearless
Location: Baltimore, MD (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-10-10
About this role
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, 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 ...