Locations

• Bulgaria
• Lithuania
• Mexico
• Poland
• Romania

Company Background

Our client is a global leader in Identity and Access Management (IAM) solutions, empowering organizations to engage securely with anyone, anywhere, anytime. The company combines professional services, IAM managed services, and Identity as a Service (IDaaS) within a unified platform powered by its industry-first Identity SOC, designed specifically to operate, monitor, and defend complex multi-vendor IAM infrastructures while delivering actionable business intelligence. Customers of all sizes around the world rely on the company to protect their digital ecosystems and ensure compliance through robust security and risk management.

Project Description

The project is a subscription-based IAM platform that offers both on-premise and cloud deployment models. It provides comprehensive features for access governance, identity administration, cloud security, and privileged identity management. The backend team focuses on developing new multi-tenant capabilities, improving scalability, and maintaining existing services within a microservices-based architecture.

Technologies

• Python
• Angular
• Java
• PyTorch
• TensorFlow
• scikit-learn
• AWS SageMaker

What You'll Do

• Analyze and identify data-driven opportunities to develop ML-powered solutions that enhance IAM capabilities and customer experience;
• Design and implement ML models using Python and frameworks such as PyTorch, TensorFlow, and scikit-learn;
• Collaborate closely with a small cross-functional team (1-3 engineers/leads) on the client side for implementation;
• Participate in technical discussions to define architecture and justify decisions;
• Support integration of ML features into the existing Java-based microservices architecture;
• Ensure solutions are scalable, maintainable, and aligned with client objectives;
• Mentor junior engineers as the project evolves;

Job Requirements

• 3+ years of experience in AI/ML development, including supervised and unsupervised learning, feature engineering, and model evaluation;
• Proficiency in Python for data processing and ML model development;
• Hands-on experience with ML frameworks such as PyTorch and TensorFlow;
• Strong analytical and problem-solving skills, with the ability to justify technical decisions;
• English proficiency at Upper-Intermediate (B2+) or higher for frequent stakeholder communication;
• Ownership mindset and ability to work in a dynamic, evolving environment;

Nice To Have

• Familiarity with AWS SageMaker for model training and deployment;
• Experience with the AWS ecosystem or other cloud-based solutions;
• Exposure to Angular or Java as part of the broader tech stack;
• Previous experience mentoring or guiding junior engineers;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.