inVerita is looking for Senior Machine Learning Engineer to join the team💙💛
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About vacancy:
Qualifications:
5+ years of experience working on Data Engineering position;
Strong experience in AI product development;
Proven skills in Databricks (preferred);
Solid understanding of AI reliability and testing frameworks;
Familiarity with medical domain data and terminology (ICD-10, MeSH);
Experience with modern data engineering tools and frameworks;
English level: Upper intermediate or higher.
Project description:
The platform is a clinical decision support solution that combines medical expertise with AI-driven insights. It enables healthcare professionals to discuss complex cases, access verified medical knowledge, and make informed treatment decisions in real time.
Core AI Components: AI Platform, AI Search, AI Trust. Small cross-functional team: Product Owner, Data/ML Engineer, and AI Research Engineer (team is expected to grow).
Small cross-functional team: Product Owner, Data Science Engineer.
Responsibilities:
Build and maintain infrastructure for AI and LLM Ops;
Develop agentic AI systems and refactor existing AI search functionalities;
Implement AI trust and reliability testing, including continuous performance evaluation and drift detection;
Support AI product development and ensure product scalability and transparency;
Maintain and manage medical ontology reference lists, linking specialties and classification systems (ICD-10, MeSH);
Contribute to data governance and AI product refinement initiatives;
Collaborate with marketing and sales teams to optimize data usage for analytics and dashboards.
We offer:
Career and professional development opportunities;
Flexible working hours;
Remote work opportunities;
20 paid vacations per business year and National Ukrainian holidays;
10 paid sick leaves;
Mentorship program;
Courses and Certifications;
Business English courses of all levels;
Team parties, company events, and branded presents.
Sofiia Vialykh
Recruiter
Send CV
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