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
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