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Remote Python Automation Jobs in Minnesota (NOW HIRING)

Danaher

AI Process Automation Analyst

Chaska, MN · On-site +1

... a remote position. In this role, you will have the opportunity to: * Partner with Operating ... SQL/Python, Power BI, API experience (software systems connectivity and exchange of data ...

BC Forward

SENIOR AUTOMATION TEST DEVELOPER

Rochester, MN · Remote

$55/hr

Rochester, MN - Remote Duration: Temp - 3 months Pay Range: $55/hr $60/hr (W2) Job ID: 409361 About ... C, C++, Java, and scripting skills in VBScript, Perl, Python, or TCL. * Knowledge of Unix and ...

New

Huntington

MLOps Automation Senior Lead Engineer

Austin, TX · On-site +1

$93K - $189K/yr

... Python, Java), CI/CD tools (e.g., Jenkins, Artifactory, CircleCI, Ansible), and development ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Leidos

Junior Software Engineer

Eagan, MN · On-site +1

Modern Development ( Python, Java, C++, PHP), Structured Data (XML, XSD, XSLT, JSON, CSV), Agile ... This position can be remote, however preference will be given to those who are local to and can ...

legence

Lead Cybersecurity Specialist

Minneapolis, MN · Remote

$125K - $165K/yr

Remote, United States. Near Legence office preferred. The Lead Cybersecurity Specialist within the ... Proficiency in scripting or programming (e.g., Python, PowerShell, Bash) for automation and ...

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Remote Python Automation information

What is remote python automation?

A Remote Python Automation job involves using the Python programming language to create scripts or applications that automate repetitive tasks or processes. These professionals work remotely, meaning they perform their duties from outside a traditional office setting, often from home. Job responsibilities can include automating data collection, testing software, managing workflows, or integrating systems. The role requires strong coding skills in Python, familiarity with automation tools and libraries, and the ability to troubleshoot and improve automated solutions.

What are the key skills and qualifications needed to thrive in remote python automation?

To thrive as a Remote Python Automation Engineer, you need strong proficiency in Python programming, automation frameworks, and a background in computer science or a related field. Familiarity with tools like Selenium, PyTest, Jenkins, Git, and experience with CI/CD pipelines are typically required, along with relevant certifications such as Certified Python Developer. Excellent problem-solving, self-motivation, and clear communication are crucial soft skills for collaborating in a remote environment and delivering reliable results. These skills and qualities are essential for efficiently building, maintaining, and optimizing automated solutions while ensuring smooth remote teamwork and project delivery.

What are some common challenges faced by professionals in remote python automation roles, and how can they be overcome?

Professionals in remote Python automation roles often face challenges such as coordinating with distributed teams, managing time zone differences, and ensuring clear communication across asynchronous channels. Additionally, they may need to proactively address issues related to code integration, testing, and deployment without immediate in-person support. To overcome these challenges, it's helpful to utilize robust collaboration tools, maintain thorough documentation, and participate in regular virtual meetings to stay aligned with the team’s goals and progress.

What is the difference between Remote Python Automation vs Remote Data Analyst?

AspectRemote Python AutomationRemote Data Analyst
Required SkillsPython, scripting, automation toolsData analysis, SQL, Excel, visualization
Work EnvironmentSoftware development teams, automation projectsBusiness intelligence, reporting teams
Industry UsageTech, finance, manufacturingFinance, marketing, healthcare
CertificationsPython certifications, automation coursesData analysis certifications, SQL certifications

Remote Python Automation focuses on creating scripts and tools to automate tasks using Python, often within development teams. Remote Data Analysts interpret data, generate reports, and support decision-making. While both roles require analytical skills, Python Automation emphasizes scripting and automation expertise, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Remote Python Automation jobs in Minnesota?

For Remote Python Automation jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Remote Python Automation jobs in Minnesota look for?

The top searched job categories for Remote Python Automation jobs in Minnesota are:

Remote Python Automation jobs near you
Infographic showing various Remote Python Automation job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Generative AI Automation Engineer - Remote Job

Saint Cloud, MN • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

Re-posted 20 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply