analyticallc
AI-ML Engineer (Azure)
At a Glance
- Location
- Bethesda, Maryland, United States
- Employment
- contract
- Experience
- 3+ years
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Government
- Regulatory
Requirements
Contribute to CI/CD pipelines, monitoring, troubleshooting, and performance tuning to ensure reliable data operations.
Work within Agile teams, collaborating closely with senior engineers, analysts, and stakeholders to deliver well-defined data requirements.
Us Citizen with the ability to secure public trust clearance
3+ years of hands-on experience developing and deploying AI/ML solutions in production environments.
Strong proficiency in Python, including data analysis and ML libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow).
Responsibilities
Build, maintain, and optimize Azure-based data pipelines and workflows using Azure Data Factory, ADLS Gen2, Synapse Analytics, Azure SQL, Python, and SQL.
Support batch and near–real-time data ingestion, transformation, enrichment, and aggregation to deliver analytics- and reporting-ready datasets.
Implement data quality checks, schema management, and validation to ensure reliable, trusted, and well-documented data.
Build secure data pipelines, integrate structured/unstructured data, and support NLP/ML workloads.
Configure, monitor, and enhance enterprise AI capabilities across Azure and other approved platforms.
Ensure compliance with Federal architecture standards, EA guidelines, and security controls.