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Home Based Python Machine Learning Jobs in Minnesota

Virtusa

Machine Learning Engineer

Minneapolis, MN · On-site

... production. - Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch ... Role Summary:- Builds, trains and tunes machine learning models. Translates data science ...

Varsity Tutors

Machine Learning Tutor

Edina, MN · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Saint Paul, MN · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Varsity Tutors

Machine Learning Tutor

Minneapolis, MN · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Virtusa

Machine Learning Engineer

Minneapolis, MN · On-site

Role Summary:- Builds, trains and tunes machine learning models. Translates data science ... production. - Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch ...

Varsity Tutors

Python Tutor

Edina, MN · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Varsity Tutors

Python Tutor

Saint Paul, MN · Remote

$40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

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Home Based Python Machine Learning information

What is the difference between Home Based Python Machine Learning vs Data Analyst?

AspectHome Based Python Machine LearningData Analyst
Required CredentialsPython programming, machine learning certifications, data analysis skillsData analysis certifications, SQL, Excel, Python or R knowledge
Work EnvironmentRemote, home-based, often project-focusedRemote or on-site, business or client-focused
Industry UsageTech, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare
Common Search/ComparisonYesYes

Home Based Python Machine Learning and Data Analyst roles share overlapping skills like data handling and analysis tools. However, Python Machine Learning focuses more on developing algorithms and models using Python, while Data Analysts primarily interpret data to generate reports and insights. Both roles are in demand for remote work and require analytical skills, but Python Machine Learning positions often demand more advanced programming and machine learning expertise.

What are popular job titles related to Home Based Python Machine Learning jobs in Minnesota? For Home Based Python Machine Learning jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Home Based Python Machine Learning jobs in Minnesota look for? The top searched job categories for Home Based Python Machine Learning jobs in Minnesota are:
What cities in Minnesota are hiring for Home Based Python Machine Learning jobs? Cities in Minnesota with the most Home Based Python Machine Learning job openings:
Home Based Python Machine Learning jobs near you
Infographic showing various Home Based Python Machine Learning job openings in Minnesota as of May 2026, with employment types broken down into 1% Internship, 6% As Needed, 37% Full Time, 5% Part Time, 50% Contract, and 1% Nights. Highlights an 67% Physical, 22% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer - Python

Machine Learning Engineer - Python

Data Recognition Corporation

Maple Grove, MN • On-site

$100K - $115K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

DRC is one of the largest educational assessment and curriculum/instruction companies in the industry.
Machine Learning Engineer
Data Recognition Corporation, Maple Grove MN
Company cannot provide sponsorship for this role
Please, no agencies or third parties
Summary:
DRC is seeking a Machine Learning Engineer to advance its Education Data Science initiatives by building and optimizing production-ready ML models. Working within an interdisciplinary team, you will develop Python-based AI solutions that run in scalable, cloud-native environments and support education learning analytics. The ideal candidate brings 2-5 years of Python experience in an AI or software engineering role, with exposure to modern ML techniques such as LLMs, Transformers, or NLP models.
Essential Responsibilities:
  • Design, train, evaluate and iterate on machine learning models to support DRC's education analytics products
  • Develop high-quality, maintainable Python code for model training, experimentation and evaluation workflows
  • Collaborate closely with MLOps and DevOps engineers to ensure models are reliably deployed and operating in production environments
  • Diagnose and communicate issues related to model performance, data quality, or deployment behavior
  • Work with data scientists, psychometricians, and software engineers to support ML workflows and ensure scalable infrastructure for research and analytics.
  • Contribute to best practices for model versioning, reproducibility and monitoring.

Required Qualifications:
  • 2-5 years of professional experience with Python.
  • Experience with ML frameworks such as TensorFlow or PyTorch
  • Experience preparing datasets, training models and evaluating performance
  • Hands-on experience with NLP techniques and large language models (e.g., transformers)
  • Proficiency with data science tools and programming languages (e.g., Python, R, SQL).
  • Ability to communicate technical findings and issues clearly across teams
  • Familiary with deploying ML models to cloud-based environments (AWS preferred)
  • Understanding of CI/CD concepts and how models move from experimentation to production
  • Ability to identify and articulate deployment related issues without owning implementation

Preferred Qualifications (nice to have, not required):
  • Associates or Bachelor's degree in Computer Science, Information Systems, Data Science or related technical field.
  • Hands-on experience working with large language models and prompt engineering (e.g., OpenAI)
  • Understanding of the unique challenges and requirements of educational assessment data
  • Experience working with version control (Git) and a collaborative development workflow

Essential Job Requirements:
  • Be able to work under supervision and accept feedback
  • Familiarity with Microsoft Office Suite
  • Relate effectively and work respectfully with diverse work groups
  • Ability to consistently perform well during times of increased workload
  • Set and meet deadlines
  • Manage multiple job functions simultaneously

Reporting to this position: No direct reports
DRC retains the right to change or assign other duties to this position
No Agencies, Please
Company cannot provide sponsorship for this position
www.datarecognitioncorp.com
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
DRC offers a comprehensive benefits program that allows employees to make choices that best meet their current and future needs. We offer many benefits, including medical, wellness, dental, and vision insurance, a 401(k), flexible spending and health savings accounts, short and long-term disability insurance, and life insurance. DRC also offers a generous paid time off policy and community service leave.
Data Recognition Corporation is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
The salary range is a guideline. Compensation will be based on skills, knowledge, and experience.

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