Machine Learning Engineer
Core
Design, develop, and deploy machine learning models and pipelines to solve specific business problems for the defense and intelligence communities.
Role type
Machine Learning Engineer
Builds
Production ML models, scalable ML pipelines, and deployable APIs
Domain
Defense and intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow, Keras, PyTorch, scikit-learn, SQL, NoSQL, Spark, Hadoop, AWS, Azure, GCP, Git, CI/CD
Preferred skills
NLP, Computer Vision, Recommender Systems, MLOps, Docker, Kubernetes, RESTful APIs, statistical modeling
Technologies
TensorFlow, Keras, PyTorch, scikit-learn, SQL, NoSQL, Spark, Hadoop, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design and implement ML models and algorithms; Build and maintain scalable ML pipelines; Transform models into deployable APIs; Monitor and maintain deployed models; Optimize models for performance and efficiency; Document models and deployment processes.
Seniority
Mid-level, hands-on IC