Sr. AI/ML Engineer I (6813)
Job Fit Check
Base Career helps you apply smarter for this job.
Key skills for this role
Role Overview
Design, build, deploy, and maintain production-ready AI and machine learning solutions.
Leverage advanced machine learning techniques to support retrieval-augmented generation and mission-focused outcomes.
Serve as a trusted technical advisor for secure system integration and communicate findings to diverse audiences.
Key Skills for This Role
Full Job Posting
About the Role
Design, build, deploy, and maintain production-ready AI and machine learning solutions.
Leverage advanced machine learning techniques to support retrieval-augmented generation and mission-focused outcomes.
Serve as a trusted technical advisor for secure system integration and communicate findings to diverse audiences.
Responsibilities
- Build, train, operationalize, and maintain AI/ML models in production.
- Apply machine learning techniques to support RAG capabilities.
- Present results in presentations or reports.
- Provide architectural leadership, technical support, and advisory services.
- Integrate system technologies while meeting security requirements.
- Analyze program and system activities to automate and optimize manual processes.
- Design, develop, and deploy containerized AI/ML solutions.
Requirements
- At least six years of experience.
- Bachelor's degree or equivalent experience.
- Active TS/SCI CI poly clearance.
- Extensive experience with open-source models or comparable proprietary-model analysis.
- Expertise in at least two of generative AI or LLMs, NLP, RAG, and neural networks.
- At least six years with at least two listed AI/ML technologies, including Python, R, Anaconda, NumPy, TensorFlow, Keras, Scikit-learn, or PostgreSQL.
- At least six years designing, implementing, and maintaining AI/ML data architecture and services.
- Experience maintaining models through user stories and DevSecOps CI/CD pipelines.
- Expertise deploying AI/ML solutions in classified AWS environments at IL6 or higher.
- Strong containerized AI/ML solution development and deployment experience.
Compensation
- The stated salary range is $170,000 to $200,000.
- Additional compensation may include performance-based bonuses, training or certification support, and referral bonuses.
Benefits
- Full-time employees may participate in health, dental, and vision insurance, a 401(k) plan with company match, paid time off, holidays, parental leave, and professional development programs.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at MetroStar
Sr. PKI Engineer I (6227)
, USA
Sr. Directory Services Engineer I (6228)
, USA
Sr. Director, Homeland Strategy & Growth
, USA
Sr. Director, IC Strategy & Growth
, USA
People Operations Manager (6601)
Reston, USA
DevSecOps Engineer (Salesforce) (6634)
, USA
Sr. Database Administrator (DBA) I (6656)
, USA
Sr. .Net Developer II (6661)
, USA