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Low Code AI Engineer
Job in
Reston, Fairfax County, Virginia, 22090, USA
Listed on 2026-02-16
Listing for:
ChatGPT Jobs
Full Time
position Listed on 2026-02-16
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Overview
Job Title: Low Code AI Engineer
Company: RIVA Solutions Inc.
Location: Reston, VA
Salary: $130K/yr
Job Type: Full-time
Benefits: Medical, Dental, Vision, Life, Retirement, PTO
Posted: 14 hours ago
Job DetailsLocation note: Remote within the United States
Travel: 0–10%
Responsibilities- Develop AI/ML algorithms and predictive models supporting enterprise mission needs.
- Preprocess, structure, and validate data to ensure accuracy and completeness for AI model inputs.
- Scale prototypes into production-ready machine learning models.
- Automate and orchestrate ML pipelines to support deployment and continuous integration.
- Deploy, serve, monitor, and optimize ML systems in production environments.
- Support the management and enhancement of new and existing AI models and pipelines.
- Apply low-code and configuration-first development approaches to accelerate delivery.
- Document model workflows, pipelines, and technical implementation details.
- Collaborate with AI Developers, Data Engineers, Scrum Masters, and federal stakeholders in Agile/Scrum environments.
- Stay informed on emerging AI tools, technologies, and best practices to improve solution quality and scalability.
- Bachelor’s degree or equivalent professional experience.
- Minimum 2 years of experience in artificial intelligence, machine learning, data engineering, or related fields.
- Experience building, training, evaluating, and deploying ML models.
- Familiarity with low-code AI development frameworks, workflow automation, or MLOps tools.
- Experience with data preprocessing, feature engineering, and model tuning.
- Strong analytical and problem-solving skills.
- U.S. Citizenship required.
- Ability to obtain and maintain a Federal Public Trust investigation.
- Experience supporting federal government or public-sector technology programs.
- Familiarity with cloud-native AI services (AWS Sagemaker, Azure ML, GCP Vertex AI).
- Exposure to MLOps pipelines, CI/CD processes, or ML service deployment.
- Experience with deep learning, NLP, time-series modeling, or other advanced ML techniques.
- Certifications in AI/ML, cloud engineering, or data analytics are a plus.
- Paid Time Off / Sick Leave
- Health, Dental, and Vision Coverage
- Life Insurance
- Retirement Benefits / 401K with company matching
- HSA/FSA Spending Accounts
- Long- and Short-term Disability
- Pet Insurance
- Wellness Program Initiatives
- RIVA Flex
- Additional Workplace Benefits
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