Oddball
Overview
Oddball 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 at 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
#J-18808-Ljbffr
Oddball 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 at 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
#J-18808-Ljbffr