United States onlyOddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.
We are seeking a Machine Learning Engineer to design, implement, and maintain ML solutions that enable secure, scalable, and data-driven decision-making. You will work with large and complex datasets, collaborating with engineers and analysts to build and deploy models that deliver measurable impact.
What You’ll Be Doing
- 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.
What you’ll bring:
- 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).
- Performs other related duties as assigned.
Nice to Haves:
- Experience with Databricks and Jupyter Notebooks for experimentation and prototyping.
- Knowledge of MLOps practices (CI/CD for ML, model registries, monitoring frameworks).
- Familiarity with data visualization tools (Tableau, Power BI, or similar).
- Prior experience supporting DHA or federal healthcare data programs.
Requirements:
- Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.
Education:
- Bachelor’s Degree
Benefits:
- Fully remote
- Tech Education Stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays
Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@Oddball.io
Compensation:
At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.
United States Wage Range: $115,000 – $160,000
