AI/ML Engineer

Location: Glendale, Wisconsin | Job type: Contract | Work hours: 8 am – 5 pm | Salary: $80 – $100 per hour | Education: Bachelor’s degree

Responsibilities

• Design, build, and deploy AI/ML models and GenAI capabilities across cloud, edge, and on‑premises environments.
• Develop LLM‑powered features, including operator copilots, intelligent alarm analysis, automated recommendations, and natural language interfaces.
• Integrate AI capabilities into existing smart products and platforms.
• Develop scalable inference and deployment architectures for production AI workloads.
• Partner with software engineering and product teams to translate business needs into AI‑enabled solutions.
• Monitor, evaluate, and continuously improve model performance, reliability, and accuracy.
• Identify and implement AI‑assisted developer tools that improve software delivery velocity.
• Leverage AI to enhance code generation, software testing, code reviews, and CI/CD workflows.
• Establish AI engineering best practices, standards, and governance across teams.
• Mentor engineers on AI technologies, frameworks, and implementation strategies.
• Evaluate emerging AI tools and technologies and recommend opportunities for adoption.
• Drive the responsible and practical use of AI throughout the software development lifecycle.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• 7+ years of software engineering experience with a strong foundation in modern development practices.
• 5+ years of hands‑on experience developing and deploying machine learning solutions.
• Experience with Python and common AI/ML frameworks such as PyTorch, TensorFlow, or Scikit‑learn.
• Experience building and integrating Generative AI and Large Language Model (LLM) solutions.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of software architecture, APIs, data pipelines, and production deployment practices.

Skills

• AWS
• APIs
• AI capabilities
• AI workloads
• AI‑enabled solutions
• AI engineering
• AI technologies
• AI solutions
• Cloud platforms
• Code generation
• Code reviews
• CI/CD workflows
• Data pipelines
• GenAI capabilities
• Generative AI
• Retrieval‑Augmented Generation (RAG)
• Google Cloud Platform
• Computer Science
• LLM‑powered
• Large Language Model (LLM)
• ML models
• Machine learning solutions
• MLOps practices
• Azure
• Model monitoring
• Industrial controls
• Developer tools
• Prompt engineering
• Python
• PyTorch
• Scikit‑learn
• Agile/Scrum
• Software architecture
• Production deployment
• Software engineering
• Software development lifecycle
• Integrating AI
• ML frameworks
• TensorFlow
• Software testing
• Communication
• Reliability
• Automation
• Building Automation Systems
• Business needs
• Data Science
• Governance
• AI governance
• IoT
• Mentoring
• Collaboration skills
• Tooling
• Vector databases

Benefits

• Medical insurance
• Prescription coverage
• Dental insurance
• Vision insurance
• Accidental Death & Dismemberment (AD&D) insurance
• Life insurance
• Short‑term disability
• 401(k) plan

Pay

Compensation is $80 – $100 per hour, with the final rate based on education, work experience, location, job duties, certifications, and other factors.

Schedule

Standard workday from 8 am to 5 pm.