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 :