Developer (AI) - Internship

About the internship:Selected intern's day-to-day responsibilities include:

1. Assist in developing, testing, and implementing AI/ML models and applications.

2. Collect, clean, preprocess, and analyze datasets for AI model development.

3. Support the team in training, evaluating, and fine-tuning machine learning and deep learning models.

4. Work with Generative AI, LLMs, prompt engineering, and AI APIs as required.

5. Develop and test AI-powered features, prototypes, and proof-of-concepts (POCs).

6. Assist in integrating AI models with existing software applications, APIs, and databases.

7. Perform model testing, debugging, and performance optimization.

8. Research emerging AI tools, frameworks, models, and industry best practices.

9. Prepare technical documentation, experiment reports, and project-related materials.

10. Collaborate with developers, data scientists, and other team members to deliver AI solutions.

11. Maintain version-controlled code and follow coding, security, and development best practices.

12. Participate in troubleshooting, deployment, monitoring, and continuous improvement of AI solutions.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 7th Oct'26 and 11th Nov'26are available for duration of 6 monthshave relevant skills and interestsStipend:INR₹ 10,000 - 12,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, 5 days a weekSkills required:Java, APIs and Generative AI ToolsAbout Company:AppGallop helps telecom operators, IT distributors, MSPs, and ISVs simplify how digital products are sold, billed, provisioned, renewed, and governed. The platform brings monetization, automated billing, and lifecycle operations into one low-touch operating system for sustainable cloud growth.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Assist in developing, testing, and implementing AI/ML models and applications.

2. Collect, clean, preprocess, and analyze datasets for AI model development.

3. Support the team in training, evaluating, and fine-tuning machine learning and deep learning models.

4. Work with Generative AI, LLMs, prompt engineering, and AI APIs as required.

5. Develop and test AI-powered features, prototypes, and proof-of-concepts (POCs).

6. Assist in integrating AI models with existing software applications, APIs, and databases.

7. Perform model testing, debugging, and performance optimization.

8. Research emerging AI tools, frameworks, models, and industry best practices.

9. Prepare technical documentation, experiment reports, and project-related materials.

10. Collaborate with developers, data scientists, and other team members to deliver AI solutions.

11. Maintain version-controlled code and follow coding, security, and development best practices.

12. Participate in troubleshooting, deployment, monitoring, and continuous improvement of AI solutions.