MLOps Engineer

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MLOps Engineer

• Location: Sunnyvale, California 94089
• Work model: On-site
• Posted 4 weeks ago
• Job ID: JPC - 209436

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Job Description

Hey Team,

Hope all is well, have a remote opportunity with Walmart

It is for an MLOPS Engineer

The big thing is where they are coming from in terms of environment, looking for people that are Individual contributors

Work time is in PST

Remote

Must haves:

PYTHON

GCP

MLOPS

Enterprise level Experience

Individual Contributor

Job Description:

Overview

The Client is seeking experienced MLOps Engineers to support the productionization, scalability, and operational excellence of enterprise advertising technology solutions. These engineers will play a critical role in transforming proven machine learning capabilities into resilient, cost-effective, multi-tenant production platforms.

This position focuses on deploying, monitoring, optimizing, and maintaining machine learning systems supporting search, recommendation, forecasting, advertising optimization, and advanced analytics use cases.

Key Responsibilities

Productionization & Deployment

• Deploy machine learning models into scalable production environments.
• Build and maintain CI/CD pipelines for machine learning workloads.
• Partner closely with Data Scientists to operationalize new models and capabilities.
• Implement model serving and deployment strategies across multiple business units.

Platform Engineering

• Design and support scalable multi-tenant machine learning infrastructure.
• Improve platform reliability, performance, and observability.
• Develop reusable deployment frameworks and infrastructure templates.
• Ensure platform consistency across multiple regions and business domains.

Operational Excellence

• Monitor model health, performance, data quality, and system reliability.
• Establish alerting, logging, and automated remediation processes.
• Optimize infrastructure utilization and cloud spend.
• Troubleshoot production incidents and drive root-cause resolution.

Data & Pipeline Engineering

• Build and optimize batch and real-time ML pipelines.
• Improve workflow orchestration and data movement processes.
• Support feature engineering pipelines and model retraining frameworks.
• Ensure reliability and scalability of production data infrastructure.

Required Qualifications

• 5+ years of experience in MLOps, Machine Learning Engineering, Data Engineering, or Platform Engineering.
• Strong Python development experience.
• Experience deploying machine learning solutions in cloud environments.
• Hands-on expertise with:
• GCP
• Databricks
• Airflow
• CI/CD pipelines
• Infrastructure automation
• Experience supporting production machine learning systems.

Preferred Qualifications

• Experience supporting search, recommendation, ranking, or advertising platforms.
• Knowledge of model monitoring and observability frameworks.
• Experience with cloud cost optimization and performance tuning.
• Experience supporting multi-tenant platforms.
• Familiarity with modern MLOps frameworks and deployment patterns.

Success Profile

The ideal candidate combines strong software engineering and platform expertise with a deep understanding of machine learning operations. They are passionate about reliability, scalability, automation, and enabling Data Science teams to deliver business value through production-ready machine learning solutions.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : Yes

Drug Screen : Yes

Notes :

Selling points for candidate :

Project Verification Info :

Exclusive to Client :Yes

Face to face interview required :Yes

Candidate must be local :No

Candidate must be authorized to work without sponsorship ::No

Interview times set : :No

Type of project :

Master Job Title :

Branch Code :

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Job details

Job ID JPC - 209436

Location Sunnyvale, California, United States

Work Model On-site

Job Type Referral Fee

Posted September 15, 2026

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