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Machine Learning Engineer Opt Jobs in Wisconsin (NOW HIRING)

Collaborate closely with business stakeholders, data scientists, machine learning engineers, and ... software engineers to ensure smooth integration of machine learning models into production systems.

Senior AI Engineer - SFL Scientific

Milwaukee, WI

$103K - $141.40K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

The ideal candidate will have a strong background in machine learning, natural language processing ... Experience in prompt engineering, model fine-tuning, and API integration. * Solid background in ...

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

JOB RESPONSIBILITIES Generative AI and Machine Learning Development: * Implement and integrate ... OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position.

Interesse an oder Grundkenntnisse in den Bereichen Google Cloud Professional Data Engineer oder Google Cloud Professional Machine Learning Engineer werden sehr geschtzt. * Tiefgehende Kenntnisse in ...

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$102.70K - $141K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

New

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

JOB RESPONSIBILITIES Generative AI and Machine Learning Development: * Implement and integrate ... OPT, STEM OPT, visa status and other employmentbased nonimmigrant visas) for this position.

Senior AI Engineer

Racine, WI · On-site

$98K - $134.60K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

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Machine Learning Engineer Opt information

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

What is the difference between Machine Learning Engineer Opt vs Data Scientist?

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Wisconsin? For Machine Learning Engineer Opt jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Wisconsin look for? The top searched job categories for Machine Learning Engineer Opt jobs in Wisconsin are:
AI & Machine Learning Developer

Other

Medical, Dental, Life, Retirement, PTO

Posted 20 days ago


Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

120th of 415 rated machine equipment manufacturers


Job description

Description


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer - Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech's mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

Research, design, and implement AI/ML solutions for mobile fitness applications.

Develop and fine-tune LLMs for natural language interactions and personalization.

Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

Collaborate with Android developers to integrate AI features into client-side applications.

Create prototypes and proof-of-concepts for new AI-driven features.

Stay current with emerging AI/ML technologies and best practices.

Ensure compliance with data privacy and security standards.

Requirements


Education:

Bachelor's or Master's degree in Computer Science, Data Science, or a related field.


Experience:

3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

Hands-on experience with AWS services for AI/ML deployment.

Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

Health & Dental Insurance

Company paid Life Insurance

401(k)

Paid Time Off benefits

Product discounts

Wellness programs



 Equal Opportunity Employer, including Veterans and Individuals with Disabilities