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Platform Ops Engineer Jobs (NOW HIRING)

Senior AI Ops Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

They are seeking a highly skilled Senior AI Ops Engineer to architect and deliver the automation ... platforms with stringent IP/security requirements is a plus. • Bachelor's degree in Computer ...

SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ... Troubleshoot deployment failures and pipeline issues across cloud, network, and platform layers ...

Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Infrastructure Ops Engineer at Baseten, you are the operational engine of our global infrastructure. You will ...

SRE with MLops Platform

Sunnyvale, CA · On-site

$67 - $89/hr

Site Reliability Engineer SRE - ML platform Location: Austin, TX and Sunnyvale, CA (Onsite) Job ... Experience Required : * 6 Plus years of experience in ML Ops with strong knowledge in Kubernetes ...

SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ... Troubleshoot deployment failures and pipeline issues across cloud, network, and platform layers ...

DevSec Ops Engineer

Colorado Springs, CO · On-site

$120K - $160K/yr

SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ... Troubleshoot deployment failures and pipeline issues across cloud, network, and platform layers ...

Co-lead delivery of a Platform Ops Portal, covering management functions such as environment ... Partner with client engineering and security teams to align the access control model with ...

SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ... Troubleshoot deployment failures and pipeline issues across cloud, network, and platform layers ...

SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ... Troubleshoot deployment failures and pipeline issues across cloud, network, and platform layers ...

Senior Cloud Data Ops Engineer

Quincy, MA · On-site

$140K - $180K/yr

Summary of Position: he Cloud Data Ops team is hiring a Senior Cloud DBA & Data Platform Engineer who brings deep, hands-on DBA expertise across SQL Server, Postgres (w/Timescale) and Oracle ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global ... About the team, this team that powers Elsevier's Health platforms: Clinical Key AI, Sherpath AI ...

Senior AI Operations (AI Ops) Engineer

Palo Alto, CA · On-site

$122K - $168K/yr

As a Senior AI Operations (AI Ops) Engineer , you are the architect of the platform that makes this scale possible. You will move beyond traditional MLOps to manage a "factory" of Language Models.

SAIC is seeking a DevSec Ops Engineer to join the CMCC DSOP team . This role executes day to day ... Troubleshoot deployment failures and pipeline issues across cloud, network, and platform layers ...

ABOUT THIS ROLE We are seeking a Staff ML/LLM Ops Engineer to own the model lifecycle as ... The model portfolio this platform serves spans both the computer-vision models in production today ...

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How much do platform ops engineer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for platform ops engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.
Infographic showing various Platform Ops Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.
Senior AI Ops Engineer

Senior AI Ops Engineer

KLA

Ann Arbor, MI • On-site

$102K - $140K/yr

Full-time

Posted 11 days ago


Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are seeking a highly skilled Senior AI Ops Engineer to architect and deliver the automation layer for model development, focusing on experiment management and model fine-tuning pipelines.
Responsibilities:
• Implement and operate experiment tracking, lineage, and reproducibility standards (datasets, code, configs, artifacts, metrics) using MLflow/W&B or equivalents.
• Build CI/CD for ML: tests (unit/integration), packaging, reproducibility checks, policy gates, automated deployment and rollback strategies.
• Design workflow orchestration for large-scale ML jobs (scheduled runs, triggered retrains, parameter sweeps, gated releases) using tools such as Airflow/Kubeflow/Argo or equivalents.
• Architect, build, and own automated pipelines for model training, fine-tuning (e.g., PEFT/LoRA), evaluation, and promotion across environments (dev → staging → production).
• Establish standardized training “recipes” (configs, templates, golden paths) to reduce time-to-first-experiment and improve consistency across teams.
• Enable and optimize distributed GPU training (throughput, reliability, and cost), including checkpointing, mixed precision, fault tolerance, and spot/preemptible handling where applicable.
• Develop evaluation harnesses and automated benchmark suites (quality, safety, latency, and cost) with clear, repeatable reporting to compare runs and releases.
Qualifications:
Required:
• Strong proficiency in Python and experience building robust automation frameworks and production-grade services for ML workloads
• Hands-on experience with experiment tracking and model lifecycle tooling (e.g., MLflow, Weights & Biases) and reproducible ML workflows
• Practical experience fine-tuning modern deep learning models (e.g., Transformers) and familiarity with parameter-efficient approaches (LoRA/PEFT)
• Working knowledge of RLHF concepts and pipelines (preference data, reward models, policy optimization) and how to operationalize human-in-the-loop workflows.
• Experience with containerization (Docker), orchestration (Kubernetes), and operating GPU workloads reliably at scale.
• Experience with CI/CD, version control (Git), and Infrastructure-as-Code (Terraform/Bicep or equivalent).
• Excellent problem-solving skills across distributed systems (training jobs, pipelines, compute infrastructure) and strong communication to partner with research and engineering teams.
• Prior experience in a similar industry and/or operating ML platforms with stringent IP/security requirements is a plus.
• Bachelor’s degree in Computer Science, Software Engineering, or related field
• 5+ years of experience in MLOps/Platform Engineering/DevOps/ML Engineering (or demonstrated equivalent impact), including owning production systems and leading cross-team initiatives
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.