Full Time

AI/ML Engineer - Chickasaw Nation Industries - Rockville, MD

Chickasaw Nation Industries

Rockville, MD
Posted 13 days ago

An AI/ML Engineer in the health IT domain with experience in HL7 data standards is responsible for designing, developing, training, and deploying machine learning and AI solutions tailored to health IT applications. This role involves working closely with adverse events data, including HL7 and other clinical data standards, to build scalable, accurate, and efficient AI models that improve drug safety, signal detection and operational efficiency.

Chickasaw Nation Industries, Inc. serves as a holding company with multiple subsidiaries engaged in several lines of business (Technology, Infrastructure & Engineering, Health, Manufacturing, Public Safety, Consulting, and Transportation) for the federal government and commercial enterprises. A portion of our profits is used to support Chickasaw citizens. We are proud to support the economic development and long-term viability of the Chickasaw Nation and its people. CNI offers premium benefits eligible on the first day of hire to full time employees; (Medical - Dental – Vision), Company Life Insurance, Short-Term and Long-Term Disability Insurance, 401(K) Immediate Vesting, Professional Development Assistance, Legal Aid Assistance Program, Family Planning / Fertility Assistance, Personal Time Off, and Observance of Federal Holidays.

As a federal contractor, CNI is a drug-free workplace and adheres to the Federal Controlled Substance Act.

ESSENTIAL REQUIREMENTS


Must possess appropriate level of certifications for this position as required by the contract.

Must be able to obtain a customer clearance for access to facilities, equipment and property.

Strong programming skills in Python, R, or Java with experience in AI/ML frameworks and libraries.

Deep understanding of machine learning algorithms, statistical models, deep learning, and generative AI techniques.

Experience working with healthcare data standards, especially HL7 and FHIR, to process and interpret clinical data.

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