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Freelance Python Automation Engineer Jobs in Alabama

Motion

Senior AI Test Automation Engineer

Birmingham, AL · On-site

$150 - $200/hr

Senior AI Test Automation Engineer Summary: The Senior AI Test Automation Engineer designs ... Working proficiency in Python and/or TypeScript sufficient to author custom evaluators, tracing ...

New

GE Aerospace

Automation Manufacturing Engineer

Auburn, AL · On-site

$72K - $92K/yr

Summary CES Approved The Automation Engineer supports and improves robotic automation systems on ... Python, Lean, Six Sigma, or root-cause methods preferred. * Ability to work onsite in Auburn ...

CGI Inc.

Senior Python Developer

Birmingham, AL · On-site

$113K - $153K/yr

We are seeking a Python Developer to support and improve IT Service Management processes through automation, engineering, and modern cloud technologies. This role is ideal for someone who enjoys ...

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Freelance Python Automation Engineer information

What does a freelance Python automation engineer do?

A Freelance Python Automation Engineer designs, develops, and implements automated solutions using the Python programming language. They often work with clients to streamline repetitive tasks, integrate systems, and improve workflow efficiency through scripting and automation tools. Their projects can range from web scraping and data processing to automating software testing or managing cloud infrastructure. As freelancers, they work independently, managing their own schedules and taking on projects from various clients. This role requires strong problem-solving skills, expertise in Python, and the ability to adapt to different project requirements.

What are the key skills and qualifications needed to thrive as a freelance Python automation engineer?

To thrive as a Freelance Python Automation Engineer, you need strong programming skills in Python, a solid understanding of automation frameworks, and experience designing efficient scripts or workflows. Familiarity with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required, along with relevant certifications in Python or automation. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for managing client expectations and delivering quality results independently. These skills and qualities are essential to efficiently automate tasks, ensure project reliability, and maintain strong client relationships in a competitive freelance environment.

What are some common challenges freelance Python automation engineers face when working with clients remotely?

Freelance Python Automation Engineers often encounter challenges such as unclear project requirements or shifting client expectations, which can lead to scope creep or delays. Communication barriers may also arise due to working across different time zones or with clients unfamiliar with technical terminology. To overcome these obstacles, it's important to establish clear project milestones, use detailed documentation, and schedule regular check-ins to ensure alignment with client goals. Building strong relationships and proactively managing expectations are key to successful remote collaborations.

What is the difference between Freelance Python Automation Engineer vs Python Developer?

AspectFreelance Python Automation EngineerPython Developer
CredentialsProficiency in Python, automation tools, scriptingProficiency in Python, software development skills, possibly certifications
Work EnvironmentFreelance projects, remote or on-site, client-specificFull-time or part-time employment, in-house or remote
Industry UsageAutomation tasks, process optimization, scripting for clientsApplication development, backend services, software solutions

Freelance Python Automation Engineers focus on automating processes and scripting for various clients, often working independently. Python Developers typically work on building software applications or systems within organizations. While both roles require Python skills, automation engineers emphasize scripting and automation tools, whereas developers focus on application development.

What are popular job titles related to Freelance Python Automation Engineer jobs in Alabama?

For Freelance Python Automation Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Freelance Python Automation Engineer jobs in Alabama look for?

The top searched job categories for Freelance Python Automation Engineer jobs in Alabama are:

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Cities in Alabama with the most Freelance Python Automation Engineer job openings:

Freelance Python Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

Mobile, AL • On-site

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

Other

Re-posted 19 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

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

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

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