AI-ML Engineer

Location: Bethesda, Maryland, United States

Company

hirify.global builds technology products and data solutions for U.S. government clients across health, civilian, and national security missions.

What you will do

• Design, build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.
• Develop batch and near-real-time ingestion, transformation, enrichment, and aggregation workflows for analytics- and reporting-ready datasets.
• Implement data quality checks, schema management, validation, and documentation for reliable data operations.
• Build secure pipelines and integrate structured and unstructured data to support NLP and machine learning workloads.
• Configure and monitor enterprise AI capabilities, contribute to CI/CD pipelines, and perform troubleshooting and performance tuning.
• Collaborate with engineers, analysts, and stakeholders in Agile teams while producing architecture artifacts, test plans, security documentation, and operational runbooks.

Requirements

• U.S. citizenship and the ability to secure public trust clearance.
• At least 3 years of experience developing and deploying AI/ML solutions in production.
• Strong Python skills with data analysis and machine learning libraries such as Pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
• Experience with Azure Machine Learning, ADLS Gen2, Azure Synapse Analytics, and Azure Data Factory.
• Knowledge of machine learning concepts, model training and evaluation, MLOps, CI/CD, version control, and model lifecycle management.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to have

• Microsoft Certified: Azure AI Engineer Associate or other Azure certifications in AI, data engineering, or cloud architecture.
• Experience with Copilot Studio, AI agent development, API and data-source integration, feature stores, vector databases, or RAG patterns.
• Exposure to event-driven or streaming architectures such as Azure Event Hubs.
• Knowledge of responsible AI, including fairness, explainability, model governance, and security.
• Experience in regulated or mission-driven environments.

Culture & Benefits

• Work with data and AI teams on technology supporting federal health, civilian, and national security missions.
• Employer-paid health care.
• 401(k) match.
• Training and development funds.
• Competitive compensation with bonus opportunities.

Hiring process

• hirify.global may use AI-assisted tools for application review and interview note-taking.
• Recruiters and hiring managers make all final hiring decisions.