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AI/ML Engineer
Career Insights for Machine Learning Engineer
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Scorecard
Based on Wisconsin data
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What they do
A Machine Learning Engineer specializes in designing, building, and deploying machine learning models. They utilize statistical and mathematical techniques, parallelizing processing, hyperparameter tuning, and other optimization methodologies to improve model performance. Responsibilities also include collecting and preprocessing large datasets, conducting exploratory data analysis, working closely with data engineers to understand data requirements, and engineer input variables for machine learning models.
$123,797 / year median in Wisconsin
Job Description
location:
Glendale, Wisconsin job type: Contract salary: $80 - 100 per hour work hours: 8am to 5pm education: Bachelors 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,AI capabilities,AI workloads,AI-enabled solutions,AI engineering,AI technologies,AI solutions,Familiarity with 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,ML frameworks,TensorFlow,software testing,communication,reliability,automated,Building Automation Systems,business needs,Data Science,governance,AI governance,IoT,Mentor,collaboration skills,tooling,vector databasesEqual Opportunity Employer:
Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.
Benefits
- 401(k) Plans
- Dental Insurance
- Disability Insurance
- Life Insurance