Location
Budapest
Job Description
Job Overview
Artera is seeking a Senior Machine Learning Engineer to join their team in Budapest. This role involves developing AI solutions that enhance patient care through intelligent communication. The successful candidate will work with cross-functional teams to implement advanced technologies like large language models and contribute to the full development lifecycle, ensuring the delivery of impactful AI agents in healthcare.
Technical Requirements
Required Skills
- • Python
- • SQL
- • Machine Learning
- • Natural Language Processing
- • Large Language Models
Preferred Skills
- • TypeScript
- • AWS
- • MLOps
- • Airflow
- • Dagster
Experience Level
Minimum of 5 years in applied machine learning or AI engineering, with advanced degrees considered in lieu of experience.
Responsibilities
- • Develop and implement production-ready AI agents for 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 of AI agents
- • Apply NLP and LLM-based techniques for component development
- • Design quality assurance tools for AI-powered conversations
- • Support predictive analytics features to enhance patient experiences
- • Communicate machine learning concepts to technical and non-technical stakeholders
- • Take ownership of tasks and deliver high-quality work
Technical Environment
Languages
Frameworks
Benefits & Perks
- • Mentorship program
- • Generous time off including company holidays and wellness days
- • Flexible time off
- • Employee Resource Groups for inclusion and belonging
Additional Information
- Location
- Budapest, Hungary
- Type
- Full Time, On-site
- 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.
Company Size
201-500
Website
Categories
AI agents
Communication
Data Science
Digital Health
Healthcare
Healthcare IT
Healthcare Technology
patient communication
Patient communication platform
Patient engagement
Virtual agents