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Selected role

AI ML Engineer

MERP Systems, Inc. US

$165k - $185k Senior Full-time

*Sr. AI/ML Engineer

Location:** Remote with occasional visits to client sites, marketing events, and HQ travel

Position 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.

Data Integration & Pipeline Development

Architect and implement real-time data streaming solutions using Apache Kafka and Azure Event Hub
Design and develop robust data pipelines in Databricks for large-scale data processing and analytics
Integrate disparate data sources and ensure seamless data flow across the enterprise ecosystem
Work with Microsoft Dataverse to manage and leverage organizational data effectively
Integrate data across systems using Microsoft Dataverse and ensure interoperability with existing government platforms.

Analytics & Visualization

Create interactive visualizations that translate complex ML insights into actionable business intelligence
Integrate Power BI with various data sources including Databricks, Dataverse, and real-time streaming platforms
Create and manage Power BI solutions for real-time insights, trend analysis, and performance reporting to enable data-driven decision-making

API Development & Integration

Design and develop RESTful APIs for ML model serving and integration with enterprise applications
Create secure, scalable API endpoints for agentic AI systems and data services
Implement API gateway patterns and ensure proper authentication, authorization, and rate limiting
Integrate third-party APIs and services into existing workflows

Programming & Technical Development

Write clean, efficient, and maintainable Python code for ML pipelines, data processing, and automation
Develop reusable libraries and frameworks to accelerate development across projects
Implement testing strategies including unit tests, integration tests, and model validation
Optimize code for performance, scalability, and resource efficiency

*Required Qualifications

Technical Skills**

Agentic AI: Hands-on experience developing autonomous AI agents using frameworks like LangChain, AutoGen, or similar platforms
Python: Advanced proficiency in Python with experience in ML libraries (scikit-learn, TensorFlow, PyTorch, pandas, numpy)
Databricks: Demonstrated experience with Databricks for distributed data processing, ML workflows, and collaborative development
Streaming Technologies: Practical experience with Apache Kafka and Azure Event Hub for real-time data ingestion and processing
Power BI: Strong skills in Power BI including DAX, Power Query, and custom visualizations
Microsoft Dataverse: Experience working with Dataverse for data management and integration
API Development: Proven ability to design and implement RESTful APIs using frameworks like FastAPI, Flask, or Django
Cloud Platforms: Experience with Azure services (Azure ML, Azure Functions, Azure Storage, etc.)

Experience

5+ years of experience in AI/ML engineering or related roles
3+ years of hands-on experience in government or highly regulated environments
Proven track record of deploying ML models to production
Experience with end-to-end ML project lifecycle from research to deployment
Demonstrated ability to work with large-scale datasets and complex data architectures

Additional Requirements

Ability to work in the USA without needing a visa (Green Card or US Citizen)
Strong understanding of data security, privacy, and compliance requirements in government settings
Experience with version control systems (Git) and CI/CD pipelines
Excellent problem-solving skills and ability to work on complex technical challenges
Strong communication skills with ability to explain technical concepts to non-technical stakeholders
Ability to obtain security clearance

Preferred Qualifications

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

What We Offer

Opportunity to work on cutting-edge AI/ML projects with direct impact on government services
Collaborative environment with access to latest technologies and tools
Professional development and continuous learning opportunities
Competitive salary and comprehensive benefits package
Work-life balance with flexible working arrangements
Chance to contribute to projects that serve the public good

Equal Opportunity Statement

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

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