Senior AI/ML Engineer
Core
Design, develop, deploy, and maintain scalable AI/ML systems and pipelines to solve business problems across various units.
Role type
Senior AI/ML Engineer (Production Systems & MLOps)
Builds
Scalable AI/ML systems, batch and real-time pipelines, and engineering infrastructure.
Domain
Sustainability ratings, business analytics, cloud infrastructure.
Deliverable
production ML models | infrastructure
Required skills
Python, MLOps/LLMOps/AgentOps, Azure cloud ecosystem, Databricks, Docker, container orchestration, REST API for model serving, relational and non-relational databases, software engineering best practices.
Preferred skills
Open-source contributions, LangChain, VectorDBs, Evaluation frameworks, Azure Foundry, Azure Bicep, AzureML.
Technologies
Python, MLflow, Azure (Cloud, ML, Foundry), Databricks, Docker, LangChain, VectorDBs, Azure Bicep, AzureML.
Responsibilities
Design and develop scalable AI/ML systems; build AI/ML engineering infrastructure to orchestrate pipelines; run large-scale experiments to ensure quality; partner with scientists to make models accessible; leverage data to solve business unit problems.
Seniority
Senior, hands-on IC