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Python Automation Developer Jobs in Barre, MA (NOW HIRING)

Quora

AI Automation Engineer -Remote

Worcester, MA · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

CircuitHub

Full-Stack Robotics Engineer

Deerfield, MA · On-site

We're now building the engineering core that will scale it further. What We're Looking For We're ... Python for control and automation * Beckhoff TwinCAT for industrial PLC integration * SolidWorks ...

IPG Photonics

Senior Optomechanical Engineer

Oxford, MA

$108K - $149K/yr

Experience with programming or automation tools (e.g., Python, MATLAB) for test automation, data collection, or analysis. * Knowledge of manufacturing processes such as machining, injection molding ...

IPG Photonics

Senior Optomechanical Engineer

Oxford, MA · On-site

$108K - $149K/yr

Experience with programming or automation tools (e.g., Python, MATLAB) for test automation, data collection, or analysis. * Knowledge of manufacturing processes such as machining, injection molding ...

1 point system

Data Scientist

Northborough, MA · On-site

... Engineering) with 4-6 years of handson experience * Experience supporting Power BI or similar BI ... Proficiency in Python or a similar language for data ingestion, transformation, and automation

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Showing results 1-20

All JobsPython Automation Developer JobsPython Automation Developer Jobs in Barre, MA

Python Automation Developer information

See Barre, MA salary details

$14

$63

$93

How much do python automation developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for python automation developer in Barre, MA is $63.81, according to ZipRecruiter salary data. Most workers in this role earn between $52.60 and $72.50 per hour, depending on experience, location, and employer.

Will AI replace Python devs?

Python automation developers use programming skills to create scripts and tools that improve efficiency. While AI can automate certain repetitive tasks, it is unlikely to fully replace Python developers, as human oversight, problem-solving, and customization remain essential. AI tools can augment a developer's work but do not eliminate the need for skilled programmers.

Is Python automation a good career?

Python automation is a strong career choice for developers, as it is widely used in scripting, data processing, and testing across various industries. Skills in Python, along with knowledge of automation tools and frameworks, can lead to high demand and job growth in roles such as automation engineer or developer. Continuous learning and staying updated with new libraries and best practices enhance career prospects in this field.

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

AspectPython Automation DeveloperQA Automation Engineer
Primary FocusDeveloping automation scripts and tools using Python for various applicationsDesigning and implementing automated tests to ensure software quality
Skills & CertificationsPython programming, scripting, automation frameworksTesting tools, scripting, Python knowledge often preferred
Work EnvironmentSoftware development teams, automation projectsQuality assurance teams, testing environments
Industry UsageTech companies, software firms, automation service providersSoftware companies, QA departments, testing service providers

While both roles involve Python scripting, the Python Automation Developer primarily creates automation solutions across various domains, whereas the QA Automation Engineer focuses on automating tests to improve software quality. The roles often overlap but differ in their core objectives and work environments.

How much does it automation with Python pay?

A Python Automation Developer typically earns between $70,000 and $120,000 annually, depending on experience, location, and industry. Skilled developers with certifications and proficiency in tools like Selenium or Jenkins may command higher salaries, especially in tech hubs or enterprise environments.

What kind of jobs use Python automation?

Python automation is used in a variety of jobs including Python Automation Developer roles, where professionals create scripts to streamline tasks such as data processing, testing, and system management. These roles often require knowledge of scripting, APIs, and tools like Selenium, Jenkins, or Ansible to improve efficiency and reduce manual effort.
What cities near Barre, MA are hiring for Python Automation Developer jobs? Cities near Barre, MA with the most Python Automation Developer job openings:
Python Automation Developer jobs near you
Infographic showing various Python Automation Developer job openings in Barre, MA as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,723 per year, or $63.8 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Worcester, MA • On-site

Other

Posted 19 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