Machine Learning Engineer at Oddball

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Federal, HealthcareIndustries

Requirements

Candidates must be authorized to work in the United States, with potential requirements for U.S. citizenship and the ability to obtain a federal background investigation or security clearance. A Bachelor's Degree is required, along with 3-5 years of experience as a Machine Learning Engineer, Data Scientist, or similar. Strong hands-on experience with AWS SageMaker, proficiency in Python and ML libraries (scikit-learn, TensorFlow, or PyTorch), and experience building end-to-end ML workflows are essential. Solid understanding of data preprocessing, feature engineering, model evaluation, ETL pipelines, and cloud-based data environments is necessary. Familiarity with healthcare/federal compliance requirements like HIPAA, NIST, and RMF is also expected.

Responsibilities

The Machine Learning Engineer will develop, train, and deploy ML models using AWS SageMaker and related cloud services, while designing and maintaining end-to-end ML pipelines for data ingestion, training, testing, deployment, and monitoring. They will collaborate with engineers and scientists to ensure data quality, implement monitoring and retraining strategies for production models, and document ML workflows for transparency and compliance with DHA policies. Additionally, they will ensure all ML solutions adhere to federal security and privacy frameworks and support initiatives involving predictive analytics, automation, and healthcare decision support.

Skills

Machine Learning

AWS SageMaker

Python

scikit-learn

TensorFlow

PyTorch

ML pipelines

Data preprocessing

Feature engineering

Model evaluation

ETL pipelines

Cloud computing

Predictive analytics

Automation

Healthcare decision support

HIPAA

NIST

CMMC

RMF

Oddball

Digital modernization for federal services

About Oddball

Oddball focuses on modernizing digital services for federal agencies, ensuring that these services are user-friendly and effective for citizens. Their approach involves creating software solutions that are tailored to the specific needs of both the public and the federal workforce. The company employs a team of skilled professionals, including developers and designers, who work collaboratively throughout the entire process, from the initial design phase to the final deployment of the software. Unlike many other digital agencies, Oddball emphasizes a human-centered design approach, which means they prioritize the needs and experiences of users in their solutions. The goal of Oddball is to enhance the efficiency and accessibility of federal services, ultimately improving the experience for citizens and the effectiveness of government operations.

Washington, District of ColumbiaHeadquarters

2015Year Founded

VENTURE_UNKNOWNCompany Stage

Government & Public Sector, Enterprise SoftwareIndustries

51-200Employees

Benefits

Remote Work Options

401(k) Company Match

Unlimited Paid Time Off

Paid Holidays

Risks

Competition from firms like Booz Allen Hamilton threatens Oddball's market share.

Maintaining remote-first culture may challenge team cohesion as Oddball scales.

Over-reliance on government contracts risks exposure to federal budget changes.

Differentiation

Oddball is a service-disabled veteran-owned small business (SDVOSB) with federal focus.

The company excels in human-centered design for government technology projects.

Oddball offers a remote-first workforce, enhancing flexibility and talent acquisition.

Upsides

Oddball secured growth investment from Falfurrias, boosting expansion potential.

Increased demand for remote-first solutions aligns with Oddball's operational model.

Government initiatives favoring veteran-owned businesses benefit Oddball's market position.

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