Machine Learning Engineer

Oddball

full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States

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💰 $115,000 - $160,000 per year

Mid-LevelSenior

AWSCloudETLPythonPyTorchScikit-LearnSparkTensorflow

About the role

Develop, train, and deploy machine learning models using AWS SageMaker and related cloud-based services
Design and maintain end-to-end ML pipelines for data ingestion, training, testing, deployment, and monitoring
Collaborate with data engineers and data scientists to ensure datasets are clean, well-structured, and ready for modeling
Implement monitoring, performance tuning, and retraining strategies for production models
Document ML workflows, ensuring transparency and compliance with DHA policies
Ensure all ML solutions adhere to federal security and privacy frameworks (HIPAA, NIST, CMMC, RMF)
Support cross-functional initiatives involving predictive analytics, automation, and healthcare decision support

3–5 years of experience as a Machine Learning Engineer, Data Scientist, or similar
Strong hands-on experience with AWS SageMaker for model development and deployment
Proficiency with Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch
Experience building and maintaining end-to-end ML workflows (training, evaluation, deployment, monitoring)
Solid understanding of data preprocessing, feature engineering, and model evaluation techniques
Familiarity with ETL pipelines and working with large, structured/unstructured datasets
Knowledge of cloud-based data environments and distributed computing (AWS, Spark, or similar)
Awareness of compliance requirements in healthcare/federal settings (HIPAA, NIST, RMF)
Applicants must be authorized to work in the United States. Certain roles may require U.S. citizenship and ability to obtain and maintain federal background investigation and/or security clearance
Bachelor’s Degree