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Remote Python Automation Engineer Jobs in West Virginia

GDIT

ITIL Automation / Orchestration Engineer

WV · Remote

$144K - $195K/yr

Strong scripting skills (Python, JavaScript, PowerShell). Experience integrating cloud platforms ... Location & Travel Remote Travel Expected=25% The likely salary range for this position is $144,500 ...

LTS

Automation Team Analyst

Charleston, WV · Remote

United States - Remote Other Considerations: U.S. Citizen or Permanent Resident Required with the ... the Automation Engineer and Technology and Innovation Team, the Process Automation Analyst ...

Leap

Senior Platform Engineer

Charleston, WV · Remote

$160K - $175K/yr

... remote state management (S3/DynamoDB). * Strong experience with modern CI/CD systems and automated ... Python or TypeScript: you build platform tooling and automation as production-grade software ...

nLine

Strong proficiency in Python * Experience with big data processing and distributed computing ... Ability to work independently and collaboratively in a small team, remote environment * Passion for ...

LTS

Senior Agentic AI Software Engineer

Charleston, WV · On-site +1

$113K - $149K/yr

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... Strong proficiency in Python and modern backend software engineering. * Experience building ...

New

Engineering

MES Consultant

Charleston, WV · Remote

Programming languages (C#, Java, C++, VBA/VBScript, Python) * Mendix Programming experience ... WFH #LI-Remote Equal Opportunity Employer: Engineering Industries eXcellence is an Equal ...

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Remote Python Automation Engineer information

How does a Remote Python Automation Engineer typically collaborate with cross-functional teams, given the remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

What is a Remote Python Automation Engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a Remote Python Automation Engineer, and why are they important?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.
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What job categories do people searching Remote Python Automation Engineer jobs in West Virginia look for? The top searched job categories for Remote Python Automation Engineer jobs in West Virginia are:
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Remote Python Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charleston, WV • Remote

Full-time

Re-posted 12 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