Machine Learning Ops Engineer, Brand Concierge

Adobe Media and Data Science Research (MDSR) Laboratory

Base: $151,800 - $265,350 annually; california: $1...
3-5 years mlops or devops experience
Cloud infrastructure aws gcp azure
Kubernetes container orchestration
This role is foundational in ensuring AI systems operate seamlessly across environments while meeting the needs of both developers and end users

Job Summary

  • This role is foundational in ensuring AI systems operate seamlessly across environments while meeting the needs of both developers and end users.
  • You will lead efforts to automate and optimize the full machine learning lifecycle from data pipelines and model deployment to monitoring and governance.
  • Adobe empowers everyone to create through innovative platforms that unleash creativity, productivity and personalized customer experiences powered by AI.

Matching Summary

This role is foundational in ensuring AI systems operate seamlessly across environments while meeting the needs of both developers and end users.

Salary

Base: $151,800 - $265,350 annually; California: $183,300 - $265,350; Equity/AIP: Not specified

Skills & Requirements

Must-have

  • 3-5 years MLOps or DevOps experience
  • Cloud infrastructure AWS GCP Azure
  • Kubernetes container orchestration
  • Terraform IaC tools proficiency
  • Python programming and CI/CD automation
  • Monitoring tools Prometheus Grafana Datadog

Nice-to-have

  • Experience with LLM applications and RAG pipelines
  • Knowledge of vector databases and embedding workflows
  • Understanding of privacy safety and responsible AI
  • Familiarity with MLflow Seldon TorchServe BentoML

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 3-5+ years in MLOps, DevOps, or ML platform engineering
  • Proficiency in Python and CI/CD automation tools

Work Rights

Not specified

Tailored Resume

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