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AI/ML Engineer (IAM Solutions)

· Job Posted December 07, 2025
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Job 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.

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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