Machine Learning Engineer (Defense)
Air Space Intelligenceabout 1 year ago
Boston, MA, USAMid Level / Senior
Responsibilities
- Design and deploy production-grade systems integrating machine learning models.
- Develop and ship features leveraging ML for optimization and prediction problems.
- Work with Kubernetes, AWS, and MLOps tooling to ensure system scalability.
- Build and maintain reliable production ML systems with robust data pipelines.
- Implement high-quality ML engineering practices including data versioning and automated testing.
Requirements
- Proficiency in Python and experience with production ML tooling and frameworks like TensorFlow and PyTorch.
- Experience using LLMs in production environments, including prompt engineering and fine-tuning.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Familiarity with classical ML, deep learning, and MLOps concepts.
- Experience with tools like Apache Beam and MLflow for building scalable ML systems.