MLOps Engineer

Soledad Data SolutionsSan Diego, United States
Full TimeOn-siteMidLimited info disclosed
32 views0 applications

Description

About This Role You will build and operate the platform that takes our models from research notebooks to reliable, observable production services. You will define the patterns researchers and engineers use to ship, run, and roll back models with confidence. What you will do Design and operate model serving, batch inference, and feature pipelines. Build CI/CD for models — versioning, packaging, canary rollouts, automated rollback. Stand up monitoring for accuracy, latency, drift, and cost. Maintain reproducible training environments and experiment tracking. Partner with security and SRE on incident response for production model failures. What we are looking for 4+ years building production ML or data infrastructure. Strong Python; comfort with at least one of Go, Rust, or TypeScript. Hands-on with Kubernetes, Docker, Terraform, and a major cloud (AWS, GCP, or Azure). Deep understanding of model serving (Triton, BentoML, KServe, vLLM, or similar). Track record of carrying production on-call for an ML or data system. Nice to have Experience with feature stores, vector databases, and data versioning (DVC, LakeFS). Background in cost optimization for GPU inference workloads. Apply for this role All fields marked with * are required. Resume / CV Upload your resume * PDF, DOC or DOCX. Max 10 MB. About You First name * Last name * Email * Phone Pronouns (optional) Your work LinkedIn URL * Website / portfolio (optional) Current or most recent company (optional) Tell us more Why do you want to work at Soledad in this role? * Anything else you'd like us to know? (optional) How did you hear about us? (optional) Work authorization Are you legally authorized to work in the United States? * Yes No Will you now or in the future require visa sponsorship? * Yes No Voluntary self-identification The information below is voluntary and will not affect your application. We collect it only for compliance reporting and to monitor the inclusivity of our hiring process. Gender Decline to state Woman Man Non-binary Prefer to self-describe Race / ethnicity Decline to state American Indian or Alaska Native Asian Black or African American Hispanic or Latino Native Hawaiian or Pacific Islander White Two or more races Other Veteran status Decline to state I identify as a protected veteran I am not a protected veteran Disability status Decline to state Yes, I have a disability No, I do not have a disability By submitting, you confirm that the information you have provided is accurate and that we may contact you about this role.