Junior Machine Learning Engineer Jobs in Racine, WI

Description

Join MLG Capital and Help Shape the Next Generation of AI in Private Real Estate Investing

MLG Capital is seeking a highly technical and collaborative AI professional to help build and scale the firm's next-generation AI capabilities. This role sits at the intersection of software engineering, machine learning, enterprise architecture, data platforms, and AI product development.

We are not looking for someone who simply deploys models or builds isolated copilots.

We are looking for someone who can partner with business leaders, engineers, analysts, and operations teams to design, build, deploy, and operate AI solutions that create measurable business value across the organization.

The ideal candidate combines hands-on engineering skills with architectural thinking and thrives in a fast-moving environment where experimentation, discipline, security, and continuous learning matter equally.

Position Summary

As MLG Capital continues to expand its Enterprise Data, Analytics, and AI capabilities, this role will help define and build the foundation for AI-enabled workflows, intelligent applications, decision-support systems, and enterprise AI platforms.

You will work across business functions including Investments, Asset Management, Investor Relations, Operations, Marketing, and Technology to identify opportunities, prototype solutions, productionize AI systems, and establish long-term standards for responsible AI adoption.

This role requires a builder's mindset, a strong software engineering foundation, and a passion for emerging AI technologies.

What You'll Do

AI Product Development

• Design and develop AI-powered applications, agents, copilots, and decision-support systems
• Build retrieval-augmented generation (RAG) solutions leveraging enterprise data sources
• Develop and deploy agentic workflows using modern orchestration patterns
• Build reusable AI services that can be leveraged across the organization
• Evaluate emerging AI technologies and determine practical business applications

Software Engineering & Architecture

• Design, build, and maintain scalable cloud-native applications
• Develop APIs, integrations, backend services, and automation workflows
• Establish software engineering standards for AI-enabled products
• Create reusable components, development frameworks, and deployment patterns
• Contribute production-ready code across frontend, backend, and cloud environments 

Machine Learning & AI Engineering

• Evaluate and implement machine learning and AI solutions across a variety of business use cases
• Assess model performance, accuracy, drift, reliability, and operational effectiveness
• Develop evaluation frameworks and testing methodologies for AI systems
• Design architectures that balance model quality, latency, security, and cost
• Stay current with advancements in LLMs, agents, reasoning models, MCP, machine learning, and enterprise AI platforms

Enterprise AI Platform Development

• Help establish MLG's long-term AI platform strategy
• Create AI capabilities that compound over time and avoid siloed point solutions
• Integrate AI capabilities with Microsoft 365, SharePoint, Teams, Fabric, OneLake, Power Platform, Azure, and other enterprise systems
• Build governed and scalable AI infrastructure supporting multiple business functions
• Partner with business teams to identify high-value AI opportunities

Security, Governance & Responsible AI

• Design AI solutions that operate within a regulated and investor-focused environment
• Implement governance, security, monitoring, auditability, and compliance controls
• Ensure enterprise AI solutions align with organizational data policies and security requirements
• Establish best practices for responsible AI adoption and operational excellence 

Requirements

What We're Looking For

Required Experience

• 5+ years of software engineering, cloud engineering, machine learning, AI engineering, or related experience
• Experience building and deploying production applications
• Experience working directly with business stakeholders to solve real-world problems
• Strong understanding of modern software engineering practices including CI/CD, testing, version control, and deployment automation
• Experience designing scalable cloud-based architectures

AI & Data Experience

Experience with many of the following:

• Azure OpenAI
• Azure AI Foundry
• Microsoft Copilot
• Copilot Studio
• Azure AI Search
• RAG architectures
• Agentic workflows
• Machine Learning
• Prompt Engineering
• Model evaluation and testing
• Azure Machine Learning
• MCP (Model Context Protocol)
• Semantic Kernel
• LangGraph, AutoGen, CrewAI, or similar frameworks

Technical Skills

Preferred experience in several of the following:

• Python
• C#
• TypeScript / JavaScript
• .NET
• React
• Node.js
• REST APIs
• SQL
• Data engineering and cloud platforms

Microsoft Ecosystem Experience

Preferred experience with:

• Microsoft 365
• SharePoint Online
• Teams
• Fabric / OneLake
• Purview
• Entra ID
• Power Platform
• Power Automate

Success in This Role

A successful candidate will:

• Build AI solutions that generate measurable business value
• Help establish MLG's AI engineering standards and best practices
• Accelerate responsible AI adoption across the organization
• Develop reusable AI capabilities rather than isolated tools
• Balance innovation with governance and security
• Continuously evaluate emerging technologies and translate them into practical business outcomes

Why Join MLG Capital?

MLG Capital is entering a pivotal phase in its AI journey.

You will join a team that is actively investing in enterprise data, analytics, AI, and automation capabilities across the business. This role offers the opportunity to influence platform strategy, shape technical direction, and develop innovative solutions within a growing private real estate investment firm.

If you enjoy solving difficult business problems, building modern software, exploring emerging AI technologies, and helping organizations transform through intelligent systems, we'd love to talk with you.

Additional Notes:

Physical Requirements: Ability to operate office machinery; including but not limited to: telephone, computer, copy machine, fax machine, printer, and mobile phone. Ability to sit for extended periods (up to 4 hours) and use a computer for up to 8 hours per day. Ability to lift up to 10 pounds on an occasional basis.

Working Conditions: Open office workstation environment, quiet to moderate noise levels.

SEC Compliance: As MLG has a subsidiary Registered Investment Adviser, many employees are subject to SEC-mandated compliance requirements. As part of these requirements, employees must disclose personal brokerage accounts and financial holdings, for themselves and any household members whose investment activities they influence.

This information is collected solely for regulatory compliance and conflict of interest monitoring. All disclosures are handled with strict confidentiality and are accessible only to the Chief Compliance Officer and designated compliance personnel when a business or SEC related need arises

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, sexual orientation, national origin or any other category protected by law.

In compliance with the Americans with Disabilities Act, a "reasonable accommodation" will be made for an individual with a known physical or mental limitation unless it would require an action of significant difficult causing undue hardship.

This document covers the most significant duties performed but does not exclude other occasional work assignments not mentioned.