Lead Machine Learning Engineer - Merchandising AI (ML Ops)
Target
At a glance
AI generatedAs a Machine Learning Ops Engineer at Adobe, you will join a dynamic team responsible for the operational reliability and scalability of AI systems. Your day-to-day responsibilities include managing model lifecycle operations, implementing real-time monitoring, developing CI/CD pipelines, automating infrastructure using Kubernetes and Terraform, and ensuring data pipeline integrity. You will also focus on performance optimization, incident response, and compliance with regulatory standards such as GDPR and SOC 2. The ideal candidate has 3-5+ years of experience in MLOps or ML platform engineering, proficiency in Python and CI/CD automation tools like GitHub Actions, and familiarity with cloud infrastructure and ML model serving tools. Experience with LLM applications, RAG pipelines, and vector databases is a plus.
Skills
What you'll do
What we're looking for
Market check
How this pay compares to similar roles
This role pays more than 60% of similar roles. Most pay $182,743–$246,425 — the shaded band above. At the midpoint, this role pays about $224k versus about $215k for comparable roles.
Based on 240 similar postings.
Employer
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has 310 open roles on FindRole.
Listed pay typically runs $185,350–$268,375 across 310 roles with salary data.
Most-posted roles
More like this
Target
Adobe
Adobe
Adobe
Adobe
Prudential Financial