Role overview
We are seeking an experienced AI/ML Engineer to join our government organization and drive the development and implementation of advanced artificial intelligence and machine learning solutions. The ideal candidate will have deep expertise in agentic AI systems, data integration, and enterprise-scale analytics platforms, with a proven track record of delivering production-ready solutions in complex environments. The role focuses on developing secure, compliant, and intelligent systems that leverage advanced technologies such as Agentic AI, Power BI, Dataverse, Kafka, Azure Event Hub, and Databricks. The selected candidate will build and integrate AI-driven data solutions to enhance decision-making, improve operational efficiency, and support mission objectives.
*Key Responsibilities
AI/ML Development & Implementation**
- Design, develop, and deploy agentic AI systems that can autonomously perform complex tasks, make decisions, and interact with multiple tools and APIs
- Build and optimize machine learning models for various use cases including predictive analytics, natural language processing, and automated decision-making
- Implement MLOps best practices for model versioning, monitoring, and continuous improvement
- Develop intelligent agents in Azure or custom code, capable of multi-step reasoning, tool usage, and adaptive behavior
- Design and implement AI/ML models and Agentic AI frameworks aligned with government data policies and compliance standards.
- Build secure data pipelines for ingestion, transformation, and analysis using Python, Databricks, Azure Event Hub, and Kafka.
- Ensure all solutions conform to information security, privacy, and federal data governance guidelines.
- Collaborate with data scientists, analysts, and IT staff to ensure models and services align with agency goals.
- Implement MLOps best practices for secure model deployment, monitoring, and performance optimization.
What we're looking for
- Master's degree or PhD in Computer Science, Data Science, or related field
- Experience with LLM integration and prompt engineering
- Knowledge of graph databases and knowledge graph construction
- Familiarity with containerization technologies (Docker, Kubernetes)
- Experience with Infrastructure as Code (Terraform, ARM templates)
- Certifications in Azure, Databricks, or related technologies
- Background in Agile/Scrum methodologies
- Experience with data governance frameworks and tools
MERP Systems is an equal opportunity employer and values diversity in the workplace. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Job Type: Full-time
Pay: $165,000.00 - $185,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Flexible schedule
- Health insurance
- Paid time off
- Vision insurance
Work Location: Remote