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 (MLOps/LLMOps)
Builds
Scalable AI/ML systems, pipelines, and engineering infrastructure for batch and real-time processing.
Domain
Sustainability ratings, business analytics, cloud infrastructure
Deliverable
production ML models
Required skills
Python, MLOps/LLMOps/AgentOps, Azure stack, Databricks, MLflow, LangChain, VectorDBs, REST API, Docker, container orchestration, relational/non-relational databases
Preferred skills
Open-source contributions
Technologies
Azure cloud, Azure ML, Azure Foundry, Databricks, MLflow, LangChain, VectorDBs, Docker
Responsibilities
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 of ML/data pipelines; Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes.
Seniority
Senior, hands-on IC
