1

Python Ml Developer Jobs in Iowa (NOW HIRING)

$109.30K - $141.90K/yr

At least a year of experience as SQA in ML/AI area * Excellent analytical skills and ability to ... Strong Python skills * Experience in non-functional testing * User experience with Git * English:

Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc. • Strong understanding and ... , ADO, GitHub, SonarQube, etc. to deliver high quality products rapidly. • Excellent ...

New

next page

Showing results 1-20

Python Ml Developer information

What are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Iowa look for? The top searched job categories for Python Ml Developer jobs in Iowa are:
What cities in Iowa are hiring for Python Ml Developer jobs? Cities in Iowa with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Iowa as of May 2026, with employment types broken down into 1% Internship, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution.

Senior Software Engineer in Test (Python)

Align Technology, Inc.

On-site

$109.30K - $141.90K/yr

Full-time

Posted 3 days ago


Job description

Align Technology Inc. is a global leader in the development of innovative medical technologies. The company is best known for its groundbreaking product, Invisalign-a device that enables people to achieve a perfect smile in a simple and aesthetic way, without traditional braces.
Today, we are developing cutting-edge, technology-rich products such as the Invisalign system for teeth alignment and iTero scanners, helping dental professionals achieve optimal clinical outcomes and offer their patients advanced, effective treatment options.
Our headquarters is located in Silicon Valley, USA. Since 2004, our Madrid R&D office has been focused on developing CAD applications for orthodontics. Working closely with colleagues in the United States (San Jose and Raleigh) and Costa Rica, our team is responsible for integration of next-generation AI-powered software for digital medical devices.
We are expanding our QA department and looking for Senior Software Engineer in Test. This role involves testing complex 3D CAD applications, APIs, AI-powered tools and user interfaces, as well as their integration with other systems.
Why You'll Love Working With Us:
  • Cross-Functional Collaboration: Be part of a dynamic, multiregional development organization that utilizes a broad set of technologies and tools. You'll have the opportunity to interact and share experiences with colleagues from various countries and cultures.
  • Diverse Testing Responsibilities: Our SQA team is responsible for testing multiple back-end applications, with a primary focus on a system which automatically implements text-based Doctors' requests in digital treatment plan. You'll engage in both automated and manual testing, develop test design, dataset management and support automation framework activities.
  • Flexible Methodologies: We use a mix of Waterfall for long-term planning and Scrum for short-term projects. Our automation frameworks, primarily Python-based (using pytest), run on both cloud (AWS) and on-premise infrastructure. 
Responsibilities
  • Design, execute test plans for our software and related APIs, conduct test cases review.
  • Develop and maintain automated tests using out Python-based automation frameworks.
  • Validate AI-driven features and algorithms integrated into the application.
  • Prepare, manage, and curate datasets for AI model training and testing.
  • Analyze test results and work closely with developers to resolve issues.
  • Estimate testing scope, plan & monitor testing for projects
  • Prepare test documentation (test strategy, test plans, RTM)
  • Work with bugs throughout their lifecycle
  • Set-up CI for feature branches
  • Support and optimize test regression
  • Clarify use-cases with internal users
  • Lead testing of team features through path-to-production flow
  • Collaborate with cross-functional teams to ensure seamless integration of AI components.
  • Contribute to continuous improvement of QA processes and tools. 
Requirements
  • Bachelor or a master's degree in computer science or related
  • 8 years of professional SQA experience 
  • 2+ years hands on experience in test automation
  • At least a year of experience as SQA in ML/AI area
  • Excellent analytical skills and ability to write detailed test cases
  • Desire to release product with good quality and ability to find defects
  • Strong Python skills
  • Experience in non-functional testing
  • User experience with Git
  • English: Upper intermediate.
Nice to have
  • Familiar with generative AI technics
  • Familiar with C++
  • SQL querying skills
  • Experience with AWS  
null