Machine Learning Engineer

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