Machine Learning Intern

Endee; India; On-site; INR 112,000 - 223,000; Full time

Benefits offered by this job

Mentorship from experienced ML engineers

Opportunity to contribute to open source AI projects

Job summary

A tech company specializing in AI is offering an internship focused on machine learning workflows. The ideal candidate will work with embeddings, similarity search, and vector retrieval systems. Strong Python skills are essential, along with the ability to contribute to and demonstrate a project using the company's vector database. This opportunity will also involve mentorship and collaboration with experienced engineers. Applicants should have a solid portfolio project showcasing their AI capabilities.

Qualifications

• Proficiency in Python and understanding of machine learning concepts are essential.
• Hands-on experience with production-grade AI infrastructure is preferred.
• Practical exposure to vector databases and large-scale retrieval systems is needed.
• Familiarity with Git and version control.
• Hands-on experience with production-grade AI infrastructure.
• Practical exposure to vector databases and large-scale retrieval systems.
• Opportunity to contribute to an open source AI project.
• Portfolio project demonstrating real world AI skills.
• Paid Internship.

Responsibilities

• Work on machine learning workflows involving embeddings and similarity search.
• Analyze performance and scalability of vector-based systems.
• Collaborate with teams on AI system design.
• Work with both structured and unstructured data for AI applications
• Support integration of vector databases into AI services and applications
• Write clean, well documented, and maintainable code
• Collaborate with engineering and research teams on AI system design

Skills

Machine learning fundamentals

Python proficiency

Understanding of embeddings

Familiarity with Git

Production-grade AI infra

Vector databases

Open source contribution

Portfolio project

Tools

Endee vector database

Job description

Responsibilities

• Work on machine learning workflows involving embeddings, similarity search, and vector retrieval
• Assist in designing and optimizing semantic search and retrieval augmented generation pipelines
• Analyze performance, accuracy, and scalability of vector based systems
• Work with both structured and unstructured data for AI applications
• Support integration of vector databases into AI services and applications
• Write clean, well documented, and maintainable code
• Collaborate with engineering and research teams on AI system design

Requirements

Strong fundamentals in machine learning concepts

• Proficiency in Python
• Understanding of embeddings, similarity search, or NLP concepts
• Familiarity with Git and version control
• Ability to learn and work with new AI tools and systems
• Hands on experience with production grade AI infrastructure
• Practical exposure to vector databases and large scale retrieval systems
• Opportunity to contribute to an open source AI project
• Mentorship from experienced ML and systems engineers
• A strong portfolio project demonstrating real world AI skills
• Paid Internship

What We're Looking For

Key evaluation criteria for this role

1 This internship follows a project based evaluation approach. Candidates will be evaluated primarily based on a project created using the Endee vector database.

• Star the official Endee GitHub repository (https://github.com/endee-io/endee)
• Develop a well defined AI or ML project using Endee as the vector database
• Demonstrate a practical use case such as semantic search, RAG, recommendations, or similar AI workflows
• Host the project on GitHub
• Provide a clean and comprehensive README including:
• Project overview and problem statement
• System design or technical approach
• Explanation of how Endee is used
• Clear setup and execution instructions

Submission Requirements

Share the GitHub repository link as part of the application or evaluation process