Machine Learning Engineer (AI Platform)
Core
Design, build, and operationalize scalable machine learning models and AI-driven solutions (including LLMs and agents) on a global data platform to support workforce-as-a-service strategies.
Role type
Machine Learning Engineer (AI Platform)
Builds
Production-ready AI solutions, LLM-powered applications, and intelligent agents on a global data platform.
Domain
Workforce-as-a-Service (WaaS), Data & AI, Generative AI, Predictive Modeling
Deliverable
production ML models
Required skills
End-to-end ML lifecycle ownership, LLM application development, AI governance and bias assessment, Model monitoring and performance optimization, Data pipeline integration, Hypothesis testing and experimentation
Preferred skills
Experience with Databricks and Unity Catalog, Knowledge of 9-layer headless data architecture, Experience with Bronze/Silver/Gold data layers
Technologies
Databricks, Unity Catalog, LLMs, Generative AI
Responsibilities
Design and deploy ML models and AI solutions, Develop and operationalize LLM-powered applications, Own the end-to-end ML lifecycle from data prep to production monitoring, Collaborate with Data Engineers on data pipelines, Validate AI use cases through experimentation, Integrate AI outputs into downstream platforms, Contribute to AI governance and compliance
Seniority
Mid-to-Senior, hands-on IC