Senior AI/ML Engineer
Core
Design, develop, deploy, and maintain scalable AI/ML systems to solve business problems and drive innovation across the organization.
Role type
Senior AI/ML Engineer
Builds
Scalable AI/ML systems, pipelines, and engineering infrastructure for batch and real-time processing
Domain
Sustainability ratings and business risk analysis
Deliverable
production ML models
Required skills
Python, MLOps/LLMOps/AgentOps, Azure cloud ecosystem, Databricks, REST API for model serving, Docker/container orchestration, relational and non-relational databases, software engineering best practices
Preferred skills
Open-source library contributions
Technologies
Python, MLflow, Azure (Azure Foundry, Azure Bicep, AzureML, Azure Cloud Storage), Databricks, LangChain, VectorDBs, Evaluation frameworks
Responsibilities
Leverage data to solve business unit problems; Design AI/ML pipelines applying MLOps/LLMOps/AgentOps best practices; Build AI/ML engineering infrastructure to orchestrate batch and real-time pipelines; Run large-scale experiments to ensure quality and efficiency; Partner with scientists and engineers to make models accessible; Deliver end-to-end solutions using specified tech stack
Seniority
Senior, hands-on IC