Machine Learning Engineer

About this role

Dark Wolf seeks a Machine Learning Engineer to design, develop, and deploy ML models and pipelines for defense and intelligence applications in Northern Virginia. You'll collaborate with cross-functional teams to transform algorithms into production systems while maintaining and optimizing deployed models.

What you'll do

• Design and implement machine learning models and algorithms to solve business problems
• Build and maintain scalable ML pipelines for data ingestion, preprocessing, feature engineering, training, and deployment
• Convert ML models into deployable APIs and integrate them with existing systems
• Monitor and troubleshoot deployed models in production environments
• Experiment with different ML techniques and evaluate performance using appropriate metrics
• Document models, experiments, and deployment processes while staying current with ML advancements

What they're looking for

• Python programming
• Machine learning frameworks (TensorFlow, Keras, PyTorch, scikit-learn)
• Data preprocessing and feature engineering
• Cloud platforms (AWS, Azure, GCP)
• SQL and NoSQL databases
• Version control and CI/CD pipelines
• RESTful API development
• MLOps practices and Docker/Kubernetes