S

Scalable

Digital care platform scaling healthcare delivery

AI/ML Engineer Intern

Natural Language Processing & LLMsConfirmed live in the last 24 hours
InternshipBerlin, GermanyNo salary listedHybrid

About the Job

Requirements

  • Excellent academic background in a quantitative discipline such as computer science, machine learning, data science, financial mathematics, engineering, or physics.
  • Currently pursuing a Bachelor's or Master's degree.
  • First experience with cloud infrastructure, specifically AWS.
  • Hands-on experience with Python.
  • Fundamental knowledge of state-of-the-art large language model frameworks, Retrieval-Augmented Generation, and vector databases such as LangChain, LangGraph, and OpenSearch.
  • First-hand experience creating large-language-model-powered applications, AI agents, tool use, and multi-step reasoning workflows, such as chatbots, information retrieval, and document summarization.
  • Experience with machine-learning packages in Python, such as pandas, NumPy, scikit-learn, and statsmodels.
  • Fluency in written and spoken English.
  • Provide the latest transcript of records and, if applicable, work references.

Responsibilities

  • Enhance machine learning and large-language-model operations infrastructure and AI agent infrastructure for model evaluation, testing, and deployment within an AWS environment.
  • Evaluate and implement different large language model frameworks, AI agent architectures, and third-party APIs.
  • Design and experiment with AI agent evaluation systems to measure reasoning quality, reliability, and consistency.
  • Support the development and automation of AI agent systems and Retrieval-Augmented Generation pipelines.
  • Document findings in the internal knowledge base.
  • Contribute to the development, improvement, and automation of machine-learning and data pipelines.
  • Apply industry-critical infrastructure technologies productively while gaining experience.

Desired Qualifications

  • Experience with AI agent or Retrieval-Augmented Generation evaluation systems, such as large-language-model-as-a-judge, automated scoring pipelines, or Langfuse-based evaluation.
  • Good understanding of software engineering principles, including API development, code versioning, and testing frameworks such as Pytest and FastAPI.
  • Familiarity with end-to-end machine-learning projects.
  • Experience with Infrastructure as Code such as Terraform.
  • Experience with continuous integration and continuous delivery frameworks such as Jenkins and GitLab CI/CD.

About the Company

Scalable

Digital care platform scaling healthcare delivery

Scalable Care is a digital care platform that uses conversational AI and automation to help organizations deliver healthcare at a larger scale. The system automates routine interactions and workflows to boost the capacity of healthcare teams, create additional revenue streams, and improve patient outcomes. It works by integrating AI-driven chats and automated processes into care delivery, enabling tasks such as triage, scheduling, follow-ups, and other frontline duties to be handled more efficiently. What sets it apart from competitors is its explicit focus on scalable workforce enablement and revenue growth through AI-powered automation, rather than just offering a single tool or interface. The goal is to empower organizations to expand their healthcare capacity, increase earnings, and achieve better health results for patients.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2019

Recently Posted Jobs

Explore more opportunities at Scalable

See more jobs