Machine Learning Engineer
New
USA-Remote WorkFull-TimeMiddle
Salary128,800 - 214,500 USD per year
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Job Details
- Required Skills
- PythonAgileGitJavaKerasMachine LearningTensorflowRscikit-learnMLOps
Requirements
- Master’s degree in Applied Mathematics, Statistics, Computer Science, or related fields.
- Verifiable work experience defining and implementing data pipelines and machine learning algorithms.
- Proficiency in Agile Development and Git Operations.
- Experience creating, maintaining, and communicating complex technical documentation.
- Active Secret clearance.
Responsibilities
- Collaborate with cross-functional teams to build machine learning models, training tools, and simulation environments.
- Implement the full MLOps lifecycle to deploy, operationalize, scale, and manage automated machine learning models.
- Develop and test ML applications according to requirements.
- Run targeted experiments to optimize overall system performance.
- Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn).
- Explore and visualize data to uncover insights and identify factors impacting model accuracy.
- Manage and deploy cloud-based ML services (AWS, Azure, GCP).
- Follow Agile methodologies to deliver production-ready, highly testable code.
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