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Machine Learning Object Detection Jobs in Wisconsin

Cliftonlarsonallen

Lead ML Ops Engineer

Milwaukee, WI

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend ... Deep understanding of AI system observability, including drift detection, evaluation frameworks ...

Medline

Machine Operator II - 12HR AM Shift

Hartland, WI · On-site

$19.75 - $28.75/hr

We look for those who are enthusiastic about trying new things and learning every day. If you have ... detect and report malfunctions. * Prepare product for transfer and/or final processing. Inspect ...

Cliftonlarsonallen

Lead ML Ops Engineer

Racine, WI · On-site

$96K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend ... Deep understanding of AI system observability, including drift detection, evaluation frameworks ...

USEMCO, Inc.

WEM Tester

Tomah, WI · On-site

... detect and locate leaks, using compressed air or water pressure: Installs fittings on object to ... Ability to read a machining scale a plus. D. Functional Skills: Excellent prioritization ...

Foxconn WI

Automation Engineer

Mount Pleasant, WI

... machine learning algorithms * Develop and conduct technical training programs for staff on ... Develop automated quality control systems incorporating AI-driven defect detection * Design and ...

KOHLS

Senior Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

... machine learning (AI/ML) feature pipelines. You will drive design decisions that improve data ... Experience with cloud warehouses/lakes (BigQuery, Redshift, Snowflake) and object storage

Foxconn WI

Automation Engineer

Mount Pleasant, WI · On-site

... machine learning algorithms * Develop and conduct technical training programs for staff on ... Develop automated quality control systems incorporating AI-driven defect detection * Design and ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Appian Corporation

Senior Technical Consultant

Madison, WI · On-site

$100K - $200K/yr

Basic understanding of object oriented programming, experience working with relational databases ... Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management ...

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Machine Learning Object Detection information

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

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Wisconsin? For Machine Learning Object Detection jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Wisconsin look for? The top searched job categories for Machine Learning Object Detection jobs in Wisconsin are:
What cities in Wisconsin are hiring for Machine Learning Object Detection jobs? Cities in Wisconsin with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Lead ML Ops Engineer

Lead ML Ops Engineer

Cliftonlarsonallen

Milwaukee, WI

$101K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 10 days ago

CliftonLarsonAllen rating

7.2

Company rating: 7.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

16th of 17 rated bookkeepers and accountants

Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

How you'll create opportunities in this role:

Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.

Oversee enterprisescale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.

Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.

Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.

Lead teams delivering shared AI infrastructure, tooling, and platforms, providing daytoday leadership through coaching, development, and performance management.

Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining highquality documentation, and driving continuous improvement.

Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.

What you will need:

6 years of relevant experience required.

  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in computer science, data science, or related field preferred.

Technical Competencies

  • Advanced proficiency in Python and architectural mastery of objectoriented design across dynamically typed languages.
  • Broad experience integrating and governing multilanguage systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadershiplevel expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprisescale deployments.
  • Proven ability to guide teams in technical decisionmaking and platform strategy.

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.


What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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