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Machine Learning Engineer Quantization Jobs in Wisconsin

Exactsciences

Principal AI Engineer

Madison, WI · On-site

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

Deloitte

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 ...

Purple Drive Technologies

GenAI Engineer

Waukesha, WI · On-site

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 ...

U.S. Venture, Inc.

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

We are seeking a talented and experienced senior level engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to ...

TTEC

German-speaking Digital Cloud Engineer

Krakow, WI

$54.50 - $72.75/hr

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 ...

Deloitte

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

Pwc

CTIO AI Engineering Manager

Milwaukee, WI

$73.50K - $244K/yr

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 ...

Us Venture

Senior AI Engineer

Green Bay, WI · On-site

$101.60K - $139.60K/yr

JOB RESPONSIBILITIES Generative AI and Machine Learning Development: * Implement and integrate ... Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

Clifton Larson Allen

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 ...

Clifton Larson Allen

Senior AI Engineer

Madison, WI · On-site

$105.30K - $144.60K/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 Quantization information

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

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What are some common challenges Machine Learning Engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What does a Machine Learning Engineer Quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

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

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in Wisconsin? For Machine Learning Engineer Quantization jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Quantization jobs in Wisconsin look for? The top searched job categories for Machine Learning Engineer Quantization jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Engineer Quantization jobs? Cities in Wisconsin with the most Machine Learning Engineer Quantization job openings:
Machine Learning Engineer Quantization jobs near you
AI & Machine Learning Developer

AI & Machine Learning Developer

Johnson Health Tech North America Inc

Cottage Grove, WI

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 

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