A
MLOPS Engineer - Remote
Apolis
🇺🇸 United States
Remote
Mid level
2 weeks ago
$70 – $75 / hour
- MLOps
- Python
- GCP
- Machine Learning
- CI/CD
- Databricks
- Airflow
2 weeks ago
Duration:: Long Term Contract
Role:: 100% 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.
MLOPS Engineer - Remote · Apolis