Top 17 Ai & machine learning engineer Jobs in Green Bay, Wi

AI & Machine Learning Engineer
Schneider —Green Bay, WI
- Full-time
- Computer science
- Azure
- Computer Science
- Paid holidays
- Health insurance
6d
Senior AI Engineer (Breakthrough)
US Venture —Green Bay, WI
- Full-time
- Hybrid work
- Computer Science
- System design
- Bachelor's degree

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AI & Machine Learning Engineer

Schneider -
Green Bay, WI

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Job Details

Full-time
6 days ago

Benefits

Paid holidays
Health insurance
Dental insurance
Tuition reimbursement
Paid time off
Vision insurance
401(k) matching
Life insurance

Qualifications

AI models
Containerization systems
Performance monitoring
Computer science
Software engineering
Azure
Data transformation pipeline development
Data analysis reporting
Computer Science
Software Engineering
NumPy
Data reporting
Git
Information Systems
Mid-level
AI platforms (beyond public GPTs)
Computational framework
Java
Microservices
Pandas
Programming languages
Production systems
Machine learning cloud services
AWS
Machine intelligence
Bachelor's degree in engineering
Professional development support
Model deployment
Application design
Version control systems

Full Job Description

Location: Green Bay, WI, USA

Shift: 1st Shift

Work model: On-Site

Schedule: FULLTIME; Mon-Fri 1st Shift

Job overview:

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives.

Responsibilities:

Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
Develop and optimize data processing and feature engineering pipelines.
Build APIs and microservices that support machine learning models.
Implement model performance monitoring and drift detection.
Write high-quality, efficient and well-documented code.
Conduct code reviews and mentor junior engineers on best practices for software development.
Perform data analysis and generate insightful reports to support business decisions.

Skills and qualifications:

Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
A minimum of 2 years of experience in software engineering, data science or a related field in IT.
Proficient in programming languages such as Python, Java or C++.
Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
Experience with SQL, database management and application development in a Linux server environment
Proficiency with version control systems (e.g., Git).
Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.

Pay and benefits:

Medical, dental and vision insurance.
Company paid life insurance.
401(k) savings plan with company match.
Paid time off and paid holidays.
Results-based incentive pay program where you can earn above and beyond your base pay.
Tuition reimbursement.
See full list of information technology benefits.

Schneider's inclusive culture

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

PI286172343

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ai & machine learning engineer jobs in green bay, wi

AI & Machine Learning Engineer

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