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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.
Job Responsibility:
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
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 we offer:
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
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