Intern

About Us

Automation Anywhere is the leader in Agentic Process Automation (APA), transforming how work gets done with AI-powered automation. Its APA system, built on the industry’s first Process Reasoning Engine (PRE) and specialized AI agents, combines process discovery, RPA, end-to-end orchestration, document processing, and analytics—all delivered with enterprise-grade security and governance. Guided by its vision to fuel the future of work, Automation Anywhere helps organizations worldwide boost productivity, accelerate growth, and unleash human potential.

We are looking for a motivated and enthusiastic AI/ML - Python Intern to support the development of automation and intelligence solutions. This role is ideal for students or early-career individuals who are eager to learn, gain hands-on experience, and contribute to real-world AI and automation projects under the guidance of senior engineers.

Key Responsibilities

• Assist in designing and developing basic AI-driven automation components under the supervision of senior team members.

• Work with Python to support scripting, data preprocessing, and simple integration tasks.

• Support model development activities such as data cleaning, feature extraction, and experimenting with existing machine learning models.

• Help in conducting research on AI/ML techniques, tools, and large language models (LLMs) to support ongoing projects.

• Collaborate with cross-functional teams to understand requirements and contribute to solution prototypes.

• Participate in testing, troubleshooting, and documenting AI solutions, including creating user guides and internal notes.

• Assist in maintaining existing AI tools and workflows by monitoring performance and reporting issues.

• Stay engaged with emerging trends in AI, ML, and GenAI to contribute fresh ideas to the team.

Required Qualifications

• Recently completed a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

• Basic proficiency in Python and familiarity with data processing libraries (e.g., Pandas, NumPy).

• Foundational understanding of machine learning concepts and algorithms.

• Interest in natural language processing and large language models.

• Strong problem-solving skills and attention to detail.

• Good communication skills and ability to work collaboratively in a team environment.

Preferred

• Active GitHub repo.