TL;DR

AI ML Engineer (IAM): Develop and implement ML-powered solutions to enhance Identity and Access Management capabilities within a subscription-based platform. Focus on designing scalable ML models, integrating them into a microservices architecture, and collaborating with cross-functional teams.

Location: Hybrid work options available across Bulgaria, Lithuania, Mexico, Poland, and Romania

Company

Global leader in Identity and Access Management solutions providing secure digital ecosystem protection and compliance through advanced IAM platforms and services.

What you will do

Analyze data-driven opportunities to develop ML-powered IAM solutions
Design and implement ML models using Python, PyTorch, TensorFlow, and scikit-learn
Collaborate with a small cross-functional client team for implementation and architecture decisions
Support integration of ML features into existing Java-based microservices
Ensure scalability, maintainability, and alignment with client objectives
Mentor junior engineers as the project evolves

Requirements

English: Upper-Intermediate (B2+) or higher required for frequent communication
3+ years experience in AI/ML development including supervised and unsupervised learning
Proficiency in Python and ML frameworks such as PyTorch and TensorFlow
Strong analytical and problem-solving skills with ability to justify technical decisions
Ownership mindset and ability to work in a dynamic environment

Nice to have

Experience with AWS SageMaker and cloud-based solutions
Familiarity with Angular and Java
Previous mentoring experience

Culture & Benefits

Technical and non-technical training for growth
Internal conferences and meetups
Mentorship and professional development support
Health insurance and English courses
Flexible remote and hybrid work options
Sports activities and additional vacation days