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Automation Scientist Jobs in Indiana (NOW HIRING)

kirbyrisk

Automation IIoT Engineer

Indianapolis, IN · On-site

On-Site Automation IIoT Engineer Kirby Risk Electrical Supply - Indianapolis, IN Are you passionate ... Bachelor's degree in Computer Science, Engineering, or related field * Equivalent experience (5+ ...

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Automation Scientist information

See Indiana salary details

$54.8K

$87.1K

$116.7K

How much do automation scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for automation scientist in Indiana is $87,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,151.00 and $103,117.00 per year, depending on experience, location, and employer.

What does an automation scientist do?

An Automation Scientist develops, implements, and optimizes automated systems for scientific research and industrial processes. They work with robotics, software, and laboratory instrumentation to increase efficiency, accuracy, and scalability in experiments or production workflows. Their role often involves programming, troubleshooting automation issues, and collaborating with scientists and engineers to streamline complex tasks.

What does a typical day look like for an automation scientist?

A typical day for an Automation Scientist involves designing experiments, programming and maintaining automated instruments, troubleshooting system issues, and analyzing output data to ensure experiment accuracy. You’ll likely collaborate with research scientists, lab technicians, and engineers to optimize workflows and support ongoing projects. Automation Scientists often spend time reviewing protocols, documenting procedures, and providing training on new systems or technologies. The role offers a varied mix of hands-on technical work and collaborative problem-solving, creating an engaging work environment with the opportunity to contribute directly to scientific innovation.

What are the key skills and qualifications needed to thrive as an automation scientist?

Thrive as an Automation Scientist by possessing a strong background in life sciences or engineering, along with expertise in laboratory automation, assay development, and data analysis. Familiarity with automation platforms (such as Hamilton, Tecan, or Beckman), scripting languages (like Python or VB), and quality control standards is highly valued, and certifications in automation or laboratory management can be advantageous. Effective problem-solving, attention to detail, and the ability to communicate and collaborate with multidisciplinary teams help individuals excel in this role. These skills are crucial for implementing, optimizing, and troubleshooting automated laboratory workflows to increase productivity and ensure reliable results.

What are popular job titles related to Automation Scientist jobs in Indiana?

For Automation Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Automation Scientist jobs in Indiana look for?

The top searched job categories for Automation Scientist jobs in Indiana are:

Automation Scientist jobs near you
Infographic showing various Automation Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $87,084 per year, or $41.9 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Terre Haute, IN • On-site

Other

Re-posted 17 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