Job Description
Job Overview
Artera is looking for a Senior Machine Learning Engineer to join their team in Budapest, Hungary. The ideal candidate will play a crucial role in developing AI solutions that enhance patient experience by leveraging advanced technologies like large language models (LLMs) and co-pilot frameworks. This position offers the opportunity to work cross-functionally and contribute to the real-world deployment of AI agents designed to improve accessibility and efficiency in healthcare.
Technical Requirements
- • Python
- • SQL
- • Machine Learning
- • Natural Language Processing
- • TypeScript
- • Cloud Infrastructure
- • MLOps
Minimum of 5 years of professional experience in applied machine learning or AI engineering. Candidates with advanced degrees may qualify with fewer years of experience.
Responsibilities
- • Develop and implement production-ready AI agents that support core healthcare workflows.
- • Create structured conversation flows using real patient data.
- • Collaborate with cross-functional teams to identify high-impact use cases.
- • Contribute to the full development lifecycle from data collection to production.
- • Apply NLP and LLM-based techniques to build components like sentiment analysis tools.
- • Design quality assurance tools for monitoring AI-powered conversations.
- • Support predictive analytics features to enhance patient experiences.
- • Communicate machine learning concepts and project updates effectively.
Technical Environment
Benefits & Perks
- • Mentorship program
- • Generous time off including company holidays and wellness days
- • Individual learning stipend
- • Employee Resource Groups
Additional Information
- Location
- Budapest, Hungary
- Type
- Full Time / Hybrid
- Compensation
- Not specified
About Artera
Artera provides an intelligent patient communication platform that helps healthcare organizations engage patients more effectively through various digital communication methods.