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Mlg Jobs (NOW HIRING)

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

Description About MLG Capital MLG Capital is a private real estate investment manager focused on delivering long-term, tax-efficient, risk-adjusted returns through diversified real estate strategies ...

MLG Capital

Analytics Engineer

Brookfield, WI · On-site

This is MLG's first-ever Analytics Engineer hire, supporting the modernization of reporting, analytics, and data operations across the firm. Role Overview This role is designed as a modern hybrid ...

Exceptional Family Resources

$27/hr

Self-Direction DSP - Jamesville Area (Job #MLG/IJ) Indera (formerly ARISE/EFR)is seeking a Direct Support Professional (DSP) to work in the Jamesville area with a young man in his mid-20's. The ...

MLG Capital

Senior IT Administrator

Brookfield, WI · On-site

$80K - $109K/yr

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 ...

MLG Capital

Senior IT Administrator

Brookfield, WI · On-site

$80K - $109K/yr

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 ...

Worky

Senior AI Engineer / AI Solutions Architect

La Farge, WI · On-site

$54.50 - $70.25/hr

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 ...

Marinosci Law Group, PC

Foreclosure Attorney

Hernando, MS · On-site

$90K - $100K/yr

MLG serves institutional clients within the default servicing industry. The firm specializes in bankruptcy, eviction, foreclosure, and other ancillary practice areas related to consumer finance. The ...

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All JobsMlg Jobs

Mlg information

See salary details

$38K

$58.7K

$98K

How much do mlg jobs pay per year?

As of Sep 10, 2026, the average yearly pay for mlg in the United States is $58,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $61,000.00 per year, depending on experience, location, and employer.

What is an mlg?

MLG stands for Major League Gaming, which refers to professional competitive video gaming organizations, players, and events. People who work in or are associated with MLG are often involved in organizing, competing in, or broadcasting esports tournaments. These roles may include professional gamers, event coordinators, shoutcasters, and technical staff. MLG has played a significant role in popularizing esports and creating opportunities for gamers to pursue gaming as a career.

What are some common challenges faced by Major League Gaming professionals, and how can they be addressed?

MLG professionals often encounter challenges such as maintaining peak performance under pressure, managing practice schedules, and balancing team dynamics. The competitive nature of professional gaming requires consistent practice, adaptability to game updates, and strong communication with teammates. Many pros address these challenges by establishing structured routines, seeking feedback from coaches, and prioritizing mental and physical well-being. A supportive team environment and access to resources, like nutritionists or sports psychologists, can also enhance performance and career longevity.

What are the key skills and qualifications needed to thrive as a Medical Laboratory Technologist, and why are they important?

To thrive as a Medical Laboratory Technologist, you need a solid background in laboratory sciences, attention to detail, and typically an associate's or bachelor's degree in medical laboratory technology along with professional certification. Familiarity with laboratory information systems (LIS), automated analyzers, and quality control protocols is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you excel in diagnostic environments. These skills are crucial for ensuring accurate test results, supporting patient diagnosis, and maintaining safety and efficiency in clinical laboratories.

What is the difference between Mlg vs Network Technician?

AspectMlgNetwork Technician
Required CertificationsTypically includes certifications like CompTIA A+ or Network+Often requires CompTIA Network+ or Cisco CCNA
Work EnvironmentPrimarily in manufacturing or industrial settingsPrimarily in office or data center environments
Industry UsageCommon in manufacturing, logistics, and industrial sectorsCommon in IT, telecommunications, and corporate sectors
Job FocusMaintaining industrial machinery and systemsInstalling, troubleshooting, and maintaining computer networks

While both roles involve technical skills, Mlg focuses on industrial machinery and systems, whereas Network Technicians specialize in computer networks. The certifications, work environments, and industry applications differ, making each role distinct despite some overlapping technical knowledge.

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Cities with the most Mlg job openings:

What states have the most Mlg jobs?

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What job categories do people searching Mlg jobs look for?

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Mlg jobs near you
Infographic showing various Mlg job openings in the United States as of September 2026, with employment types broken down into 5% Internship, 3% As Needed, 89% Full Time, and 3% Part Time. Highlights an 92% Physical, and 8% Remote job distribution, with an average salary of $58,715 per year, or $28.2 per hour.

Senior AI Engineer / AI Solutions Architect

Brookfield, WI • On-site

MLG Capital
Investment Management and Consulting Services • 51 - 200 employees
Learn more about MLG Capitalexternal

$51.75 - $66.75/hr

Full-time

Posted 23 days ago

Job description

Job Type
Full-time
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.

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