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ML Ops Engineer
Summary by AIEngineer.careers
ML Ops Engineer is a MLOps Engineer role (full-time). with Lilly. in SAN FRANCISCO, US. Imported listing (source: ihireengineering.com). Apply on the employer's site (ihireengineering.com).
Imported listing (source: ihireengineering.com) · Apply on ihireengineering.com
SAN FRANCISCO · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from ihireengineering.com
The MLOps Engineer is responsible for building and operating platforms that support the end-to-end machine learning lifecycle. This includes managing model deployment, monitoring, retraining processes, and optimizing infrastructure for research workloads.
Responsibilities
- Build and operate ML lifecycle platforms
- Manage model deployment and monitoring
- Implement retraining pipelines
- Optimize infrastructure for research workloads
Requirements
- 4+ years of experience in MLOps or related fields
- Knowledge of MLOps tools such as MLflow, Weights & Biases, or KServe
Tech Stack
Weights & BiasesMLflowKServe
Lilly
Indianapolis · US · 57600+ employees
Eli Lilly and Company is a pharmaceutical manufacturing company dedicated to discovering, developing, and delivering breakthrough medicines. The company focuses on harnessing biotechnology, chemistry, and genetic medicine to address significant global health challenges.
