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Robotic Process Automation Developer Intern Jobs in Chelsea, MA

Danaher

Software Automation Internships

Cambridge, MA · On-site

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our ... to process automation, testing strategies, and design optimization. Interns in similar past roles ...

Danaher

Software Automation Internships

Lowell, MA · On-site

As an Automation Engineering Intern at Cytiva (a Danaher company), you would help improve our ... to process automation, testing strategies, and design optimization. Interns in similar past roles ...

Moderna, Inc.

Engineer II, Process Automation

Norwood, MA · On-site

$84K - $134K/yr

Troubleshooting complex issues within our GxP Process Automation Systems, i.e. DeltaV or Allen-Bradley programmable logic controllers. Maintaining and sustaining a culture of compliance both in how ...

Genezen

Automation Engineer I/II/III

Lexington, MA

The Automation Engineer is responsible for the administration of all facilities and process automation. JOB RESPONSIBILITIES * Provides automation support and troubleshooting services to Genezen ...

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Robotic Process Automation Developer Intern information

What does a Robotic Process Automation Developer Intern do?

A Robotic Process Automation (RPA) Developer Intern assists in designing, developing, and implementing software robots (bots) that automate repetitive tasks within business processes. They typically work with RPA tools like UiPath, Blue Prism, or Automation Anywhere to create, test, and maintain automation workflows under the guidance of senior developers. Their responsibilities may also include documenting processes, troubleshooting issues, and collaborating with other teams to understand automation requirements. This role provides hands-on experience in both programming and process improvement, making it valuable for students interested in technology and business efficiency.

What are some typical projects a Robotic Process Automation Developer Intern might work on during their internship?

As a Robotic Process Automation (RPA) Developer Intern, you can expect to work on projects that involve designing, developing, and testing automated workflows using RPA tools such as UiPath or Automation Anywhere. Common tasks include analyzing business processes to identify automation opportunities, building and debugging bots to handle repetitive tasks, and collaborating with business analysts and senior developers to optimize efficiency. You may also assist in documenting solutions and supporting the deployment of automation in real business environments. These experiences provide valuable insights into RPA best practices and prepare you for more advanced roles in automation.

What are the key skills and qualifications needed to thrive as a Robotic Process Automation Developer Intern, and why are they important?

To thrive as a Robotic Process Automation (RPA) Developer Intern, you need a solid understanding of programming concepts, process analysis, and familiarity with automation principles, often supported by coursework in computer science or related fields. Experience with RPA tools such as UiPath, Blue Prism, or Automation Anywhere, along with knowledge of scripting languages like Python or VB.NET, is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These skills ensure you can design, implement, and maintain efficient automation solutions that optimize business processes and support operational goals.

What is the difference between Robotic Process Automation Developer Intern vs RPA Business Analyst?

AspectRobotic Process Automation Developer InternRPA Business Analyst
Required CredentialsBasic programming knowledge, relevant courseworkBusiness analysis skills, understanding of RPA processes
Work EnvironmentAssist development teams, coding, testing RPA botsGathering requirements, process mapping, stakeholder communication
Employer & Industry UsageTech companies, finance, healthcare, manufacturingBusiness units, consulting firms, enterprise organizations

The Robotic Process Automation Developer Intern focuses on coding and developing RPA solutions, while the RPA Business Analyst concentrates on analyzing business processes and defining requirements. Both roles are essential in RPA projects but differ in technical versus business focus.

What cities near Chelsea, MA are hiring for Robotic Process Automation Developer Intern jobs?

Cities near Chelsea, MA with the most Robotic Process Automation Developer Intern job openings:

Robotic Process Automation Developer Intern jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cambridge, MA • On-site

Other

Re-posted 26 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