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AI Intern

Archle LabsKA, IN2d ago
Full-timevia indeed

Required Skills

apiawsazuredeep learningfastapillmmachine learningnlppostgresqlpython

Job Description

  • *AI Intern**
  • *Company:** ARCHLE Labs – Advanced Research Centre for Health and Life Science Engineering
  • *Location:** Bengaluru, Karnataka
  • *Job Type:** Full\-time
  • *Experience:** 0–1 years
  • *Work Mode:** On\-site

About ARCHLE Labs

ARCHLE Labs is a Bengaluru\-based health\-tech research and development startup focused on developing technology\-driven solutions for healthcare and life sciences.

Our work involves applying emerging technologies, artificial intelligence, and engineering principles to address challenges in healthcare.

  • *Job Description**

We are seeking an AI Intern to join our Research and Development team.

The selected candidate will contribute to the development, testing, and implementation of artificial intelligence and machine learning applications, with a focus on Generative AI, Natural Language Processing (NLP), and Large Language Models (LLMs).

This role involves collaborating with the technical team to develop AI\-based solutions for healthcare applications.

Key Responsibilities

  • Develop and maintain AI/ML applications using Python.
  • Build and test applications using Large Language Models (LLMs).
  • Develop Natural Language Processing (NLP) and Generative AI workflows.
  • Design and implement Retrieval\-Augmented Generation (RAG) pipelines.
  • Work with vector databases, embeddings, and semantic search.
  • Develop AI workflows using LangChain and LangGraph.
  • Build and integrate backend APIs using FastAPI.
  • Implement prompt engineering techniques to improve model performance.
  • Work with Hugging Face models and transformer\-based architectures.
  • Assist in model fine\-tuning, evaluation, and optimization.
  • Research and evaluate emerging AI/ML tools and technologies.
  • Collaborate with team members to integrate AI functionalities into applications.
  • Support model deployment, testing, and technical documentation.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline.
  • 0–1 years of relevant experience. Fresh graduates with relevant project experience may also apply.
  • Proficiency in Python programming.
  • Understanding of machine learning and deep learning fundamentals.
  • Familiarity with NLP, Generative AI, and Large Language Models.
  • Working knowledge of RAG pipelines and vector embeddings.
  • Familiarity with LangChain, LangGraph, or similar LLM frameworks.
  • Basic knowledge of API development using FastAPI or similar frameworks.
  • Understanding of prompt engineering and LLM optimization.
  • Strong analytical, problem\-solving, and communication skills.

Preferred Skills

  • Experience with Hugging Face and transformer models.
  • Familiarity with AWS EC2, SageMaker, or Microsoft Azure.
  • Knowledge of PostgreSQL or other databases.
  • Understanding of GraphRAG architectures.
  • Exposure to AI model fine\-tuning and deployment.
  • Experience with AI/ML projects, internships, or research activities.
  • Interest in healthcare technology and research\-driven product development.

What We Offer

  • Opportunity to work on AI/ML applications in healthcare and life sciences.
  • Exposure to Generative AI, NLP, and LLM\-based development.
  • Collaboration with technical and research teams.
  • Opportunities for technical learning and professional development.
  • Experience working in a startup research and development environment.

How to Apply

Interested candidates can apply through Indeed by submitting their updated resume.

Candidates with relevant academic projects, internships, or practical experience in AI/ML development are encouraged to apply.

Application Question(s)

\*

We are looking for immediate recruitment, will you be able to join us immediately ?

  • Previous Internship experience?
  • Year of Graduation?
  • Previous compensation received if any and your expected stipend for the role

Work Location: In person

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Job Overview

Job type
Full-time
Work mode
On-site
Location
Bengaluru
Posted
2d ago
Source
Indeed