Machine Learning / AI Engineer at A-TEK Inc.

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Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

160000.0

Posted On

03 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, AI, FHIR, EHR, AWS SageMaker, MLflow, NLP, Data Governance, Predictive Analytics, HIPAA, FedRAMP High, FISMA, Anomaly Detection, Schema Mapping, Healthcare Interoperability, Public Health

Industry

IT Services and IT Consulting

Description

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission! A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape. Our work is fueled by a passion to serve our clients’ needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees. We are seeking a skilled Machine Learning / AI Engineer to design, develop, and maintain AI/ML models that enhance the processing and interoperability of federal electronic health records (EHR) data. This position places strong emphasis on FHIR and other healthcare interoperability standards to enable secure, efficient, and compliant data exchange across federal health systems. You will collaborate with federal OCIO, data governance, and health informatics teams to deliver AI-driven solutions for data ingestion, schema mapping, anomaly detection, and predictive analytics, ensuring compliance with HIPAA, FedRAMP High, and FISMA requirements. This role is remote with occasional travel to McLean, VA. The ability to obtain and retain a Public Trust Level 4 clearance is required for consideration. Key Responsibilities AI/ML Model Development: Build, train, and deploy ML models for FHIR-compliant schema mapping and patient record linkage; implement AI-driven anomaly detection; create predictive models for public health use cases. Healthcare Data Interoperability: Apply FHIR, OMOP, and HL7 standards to integrate federal EHR systems; support tokenization and privacy-preserving record linkage; enable secure interoperability across platforms. Optimization & Governance: Optimize model performance, accuracy, and interpretability; apply model governance frameworks for monitoring, retraining, and compliance; document processes for audit readiness. Required Qualifications Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related field. 3+ years of hands-on ML/AI model development experience. Proficiency with AWS SageMaker, MLflow, and NLP tools. Experience with FHIR, OMOP, and/or federal EHR data. Knowledge of HIPAA, FedRAMP High, and FISMA compliance requirements. Preferred Qualifications Prior experience with HHS, CMS, FDA, or other federal public health agencies. Expertise in building data ingestion pipelines for large-scale health record systems. Certifications in AI/ML, cloud technologies, or healthcare informatics. Compensation: Salary Range: $150,000 – $160,000 annually (commensurate with experience) Benefits: Health, dental, and vision insurance; 401(k) with employer match; paid time off; professional development opportunities. Why Join Us? At A-TEK, you’ll be at the forefront of federal healthcare AI innovation, developing solutions that make EHR data more secure, accessible, and actionable. You’ll contribute to mission-critical projects that improve public health outcomes while working in a collaborative, growth-focused environment. A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status. Verification of education may be requested before or during the hiring process.

Responsibilities

Design, develop, and maintain AI/ML models to enhance federal electronic health records data processing. Collaborate with federal teams to deliver AI-driven solutions for data ingestion and predictive analytics.