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Apprentice Machine Learning Testing Jobs in Minnesota

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Optimize AI system performance through testing and tuning, leveraging data science and Databricks ...

We're looking for a Principal Machine Learning Engineer to build AI features for the family ... Optimize AI system performance through testing and tuning, leveraging data science and Databricks ...

As an apprentice, you will work under the guidance of skilled CNC operators and technicians, progressively learning the operation, maintenance, and programming of CNC machines in a real-world ...

Lead Research Engineer

Eagan, MN · On-site

$104K - $137K/yr

... testing and delivering high-quality solutions. * Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning ...

... Machine Learning (AI/ML) platforms, such as Amazon SageMaker, SAP IBP, and a custom time series ... stationarity testing, changepoint detection, clustering, Fourier-based seasonality analysis ...

... Machine Learning (AI/ML) platforms, such as Amazon SageMaker, SAP IBP, and a custom time series ... stationarity testing, changepoint detection, clustering, Fourier-based seasonality analysis ...

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications ... Apply engineering standards for testing, security, scalability, cost efficiency, and software ...

Senior Software Engineer

Edina, MN · On-site

$102K - $179K/yr

Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications ... Apply engineering standards for testing, security, scalability, cost efficiency, and software ...

Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications ... Apply engineering standards for testing, security, scalability, cost efficiency, and software ...

Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications ... Apply engineering standards for testing, security, scalability, cost efficiency, and software ...

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Apprentice Machine Learning Testing information

What kinds of projects or tasks can I expect to work on as an Apprentice Machine Learning Testing?

As an Apprentice Machine Learning Testing, you’ll typically assist in evaluating machine learning models by designing and running tests, analyzing model outputs, and helping identify issues like bias or overfitting. You may work closely with data scientists and software engineers to validate model performance and ensure results align with project objectives. Your daily tasks might include preparing test datasets, executing automated testing scripts, and documenting findings to help improve model reliability. This role often serves as a valuable introduction to practical machine learning workflows and quality assurance processes in technical teams.

What are the key skills and qualifications needed to thrive as an Apprentice Machine Learning Testing, and why are they important?

To thrive as an Apprentice in Machine Learning Testing, a foundational understanding of statistics, programming (especially Python), and basic machine learning concepts is essential, often supported by a degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help apprentices collaborate and identify testing issues efficiently. These skills ensure accurate model validation, effective troubleshooting, and contribute to the robust deployment of machine learning solutions.

What does an Apprentice Machine Learning Testing do?

An Apprentice Machine Learning Testing professional assists in evaluating and validating machine learning models to ensure they perform as expected. They typically work under the guidance of experienced data scientists or engineers, running tests, analyzing results, and helping to identify issues such as bias or inaccuracies in algorithms. Their responsibilities may also include developing test cases, writing reports, and learning about data preprocessing and evaluation metrics. This role is ideal for those who are new to the field and want to build foundational skills in machine learning quality assurance.

What is the difference between Apprentice Machine Learning Testing vs Machine Learning Engineer?

AspectApprentice Machine Learning TestingMachine Learning Engineer
Required CredentialsBasic understanding of ML concepts, often pursuing relevant certifications or degreesAdvanced degrees (BSc, MSc, PhD) in CS or related fields, with extensive experience
Work EnvironmentEntry-level, supervised testing environments, often in training programsFull-time, independent development and deployment of ML models in production
Employer & Industry UsageInternships, training programs, entry-level roles in tech companiesEstablished tech firms, startups, research institutions

Apprentice Machine Learning Testing roles focus on learning and assisting with testing ML models under supervision, while Machine Learning Engineers design, build, and deploy ML systems independently. The apprentice position is ideal for gaining foundational skills, whereas the engineer role requires advanced expertise and experience.

What are popular job titles related to Apprentice Machine Learning Testing jobs in Minnesota? For Apprentice Machine Learning Testing jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Apprentice Machine Learning Testing jobs in Minnesota look for? The top searched job categories for Apprentice Machine Learning Testing jobs in Minnesota are:
What cities in Minnesota are hiring for Apprentice Machine Learning Testing jobs? Cities in Minnesota with the most Apprentice Machine Learning Testing job openings:
AI/ML Engineer - Hybrid Onsite

AI/ML Engineer - Hybrid Onsite

UnitedHealth Group

Minnetonka, MN • Hybrid

$72K - $130K/yr

Full-time

Medical, Retirement

Re-posted 3 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 886 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.    

This position follows a hybrid schedule withfour in-office days per week.

Primary Responsibilities:

  • Develop and implement machine learning solutions using LLMs
  • Utilize the LangChain framework for working with closed source and open-source models
  • Apply fine-tuning methodologies to optimize machine learning models for specific tasks and datasets
  • Write clean, maintainable, and efficient code adhering to PEP8 standards
  • Utilize containerization technologies such as Docker for development and deployment
  • Ensure the production quality of code, including thorough testing and documentation
  • Be comfortable working on the terminal for various development and deployment tasks
  • Work on traditional machine learning methods like XGBoost for classification tasks and unsupervised learning techniques like K-means

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Undergraduate degree or equivalent experience
  • 3 years of proven experience working with Large Language Models (LLMs)
  • 3 years of experience with machine learning concepts and fine-tuning methodologies
  • 3 years of professional coding experience in Python, following PEP8 standards
  • Experience using the LangChain framework.
  • Experience with Retrieval-Augmented Generation (RAG) techniques
  • Experience with containerization technologies such as Docker
  • Experience ensuring production-quality code, including thorough testing and documentation
  • Experience with version control systems such as Git
  • Proven solid problem-solving skills and attention to detail
  • Proven ability to write clean, maintainable, and efficient code
  • Proven comfortable working in the terminal for development and deployment tasks

Preferred Qualifications:

  • Healthcare experience
  • Statistical knowledge

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 


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