Job Details
We’re seeking a Machine Learning Engineer to design and implement scalable AI/ML solutions that drive product innovation and business insights. This role partners closely with data scientists, software engineers, and product managers to bring ML capabilities into production.

Projects: This role focuses on applying machine learning and LLMs to enhance IAM decision-making and automation. Engineers will build, train, and integrate LLM-based models that support access, risk evaluation, and governance use cases across internal IAM products. The environment is highly product-focused and supports advanced AI/ML-powered decisioning as part of IAM processes.

Responsibilities

Design, build, and deploy ML applications and pipelines on GCP.
Develop and integrate ML and NLP/SLM solutions, including fine-tuning and production hosting.
Collaborate cross-functionally to deliver scalable, high-performance ML systems.
Support the full machine learning lifecycle from data preparation through model evaluation and deployment.

Required Qualifications

5+ years of experience as a ML Engineer; Strong proficiency in Python
Experience with ML and AI, including LLM development and integration
Experience deploying and operating ML models in production environments
Hands-on experience building data-driven decision systems embedded in product workflows
Experience integrating ML models via APIs into internal platforms
Strong understanding of ML workflows, feature engineering, and model evaluation
Experience with common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Familiarity with hybrid cloud environments (public cloud and proprietary private cloud)

Preferred / Nice to Have

Experience in Identity & Access Management (IAM) or Cybersecurity

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Machine Learning Engineer

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