Position:: MLOPS Engineer Duration:: Â Long Term Contract Role:: 100% Remote
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 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.
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.
Skills
Advertisingunmatched
Automationunmatched
Cloud Computingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cost Controlunmatched
Data Qualityunmatched
Data Scienceunmatched
Equipment Maintenance/Repairunmatched
Forecastingunmatched
GCP (Good Clinical Practices)unmatched
Identify Issuesunmatched
Machine Learningunmatched
Performance Modelingunmatched
Performance Tuning/Optimizationunmatched
Production Machiningunmatched
Production Supportunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Reliability Engineeringunmatched
Systems Administration/Managementunmatched
Systems Reliabilityunmatched
Use Casesunmatched
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