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Python Automation Jobs in Connecticut (NOW HIRING)

Quora

AI Automation Engineer -Remote

Hamden, CT · On-site +1

$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 ...

Quora

AI Automation Engineer -Remote

Danbury, CT · On-site +1

$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 ...

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Python Automation information

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$21.9K

$133.2K

$192.6K

How much do python automation jobs pay per year?

As of Jun 23, 2026, the average yearly pay for python automation in Connecticut is $133,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the salary of Python automation engineer?

The salary of a Python automation engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong scripting skills and knowledge of tools like Selenium or Jenkins may command higher salaries.

What are the key skills and qualifications needed to thrive in the Python Automation position, and why are they important?

To excel in Python Automation, you need a solid understanding of programming in Python, scripting, and automation frameworks such as Selenium or PyAutoGUI, often backed by a degree in computer science or related field. Experience with version control tools like Git, familiarity with CI/CD pipelines, and sometimes certifications like ISTQB or relevant automation testing credentials are highly valued. Strong problem-solving skills, attention to detail, and effective communication stand out as crucial soft skills. These qualifications help ensure smooth automation processes, efficient workflow integration, and effective collaboration across development and QA teams.

What is a Python Automation job?

A Python Automation job involves using Python scripts and frameworks to automate repetitive tasks, workflows, or processes in various domains such as software testing, data processing, system administration, and web scraping. Professionals in this role write and maintain automation scripts, integrate them with existing systems, and optimize performance to improve efficiency. They often work with libraries like Selenium, Pandas, and PyAutoGUI, depending on the specific use case.

Is Python useful for automation?

Python is highly useful for automation roles because of its simplicity, extensive libraries, and strong community support. It is commonly used to automate repetitive tasks, data processing, and system management, making it a valuable skill for automation jobs. Knowledge of scripting and tools like Selenium or Ansible can enhance automation capabilities in Python roles.

What kind of jobs use Python automation?

Python automation is used in roles such as software developers, data analysts, system administrators, and QA engineers to streamline tasks like data processing, system management, testing, and deployment. These jobs often require knowledge of scripting, APIs, and tools like Selenium, Pandas, or Ansible to improve efficiency and reduce manual effort.

Are Python coders still in demand?

Python automation specialists are currently in high demand due to the language's versatility and widespread use in scripting, data analysis, and software development. Employers seek Python skills alongside knowledge of frameworks, libraries, and tools like Git and Docker, making it a valuable skill set for automation roles across various industries.

What does a typical day look like for someone in a Python Automation role?

A typical day in a Python Automation position involves designing, writing, and maintaining scripts to automate repetitive or complex tasks, often in collaboration with development and QA teams. You might start by reviewing automation requirements, setting up test environments, and debugging scripts or automated pipelines. Expect regular meetings with team members to align on project goals, troubleshoot integration issues, and discuss enhancements. This role often includes documenting processes and results to ensure knowledge sharing and smooth handoffs within the team.

What are popular job titles related to Python Automation jobs in Connecticut? For Python Automation jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Python Automation jobs in Connecticut look for? The top searched job categories for Python Automation jobs in Connecticut are:
Python Automation jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Danbury, CT • Remote

Other

This job post has expired today. Applications are no longer accepted.

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