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 Google Cloud Platform.
• 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