Responsible for designing the system architecture to train, retrain, develop, monitor, and serve machine learning models
Job Summary
Responsible for designing the system architecture to train, retrain, develop, monitor, and serve machine learning models.
Collaborate closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of machine learning models into production.
EBANX offers a Performance Bonus, Meal Allowance, EBANX Education, EBANX Skills, Language Classes, Health & Well-being benefits, and a Flexible Work Culture.
Matching Summary
Responsible for designing the system architecture to train, retrain, develop, monitor, and serve machine learning models.
Skills & Requirements
Must-have
MLOps, DevOps experience
Cloud platforms (AWS, GCP, Azure)
Containerization (Docker, Kubernetes)
Machine learning frameworks
Python programming
CI/CD pipelines
Data pipelines and ETL
Monitoring, logging, alerting solutions
Nice-to-have
Event streaming platforms (Kafka)
Financial services knowledge
Payment systems understanding
Key Requirements
Experience in MLOps, DevOps, or related roles
Strong experience with cloud platforms
Proficiency with containerization tools
Familiarity with machine learning frameworks
Strong Python skills
Experience with CI/CD tools
Knowledge of data pipelines and ETL processes
Experience with monitoring, logging, and alerting solutions
Understanding of security and compliance standards