Machine Learning Ops and Data Engineer is a MLOps Engineer role (full-time). with Avarda Group. in TALLINN, EE. Imported listing (source: tfbank.teamtailor.com). Apply on the employer's site (tfbank.teamtailor.com).
Imported listing (source: tfbank.teamtailor.com) · Apply on tfbank.teamtailor.com
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Imported job description
Sourced from tfbank.teamtailor.com
This role combines data platform engineering and MLOps, supporting analytical data flows and production ML models. The engineer will maintain ETL pipelines, deploy and monitor ML models, and collaborate with Data Science and Engineering teams.
Responsibilities
Deploy machine learning models into production environments and support their operational lifecycle.
Support cloud-based analytical, reporting, and machine learning infrastructure.
Collaborate closely with Data Science, Engineering, Risk, BI, and IT teams to align data and model requirements with production standards.
Develop automation for model deployment, updates, scaling, and recurring data processing tasks.
Implement monitoring for both data pipelines and machine learning models, including performance, availability, and quality checks.
Ensure reliable operation and continuous development of the analytical data warehouse environment.
Design, maintain, troubleshoot, and optimize ETL/data pipelines supporting reporting, analytics, and machine learning use cases.
Ensure timely and high-quality data availability for BI, Risk, Data Science, and other business stakeholders.
Identify, investigate, and resolve performance issues across data warehouse, ETL, and model deployment processes.
Avarda Group is a European financial services company, formerly known as TF Bank AB, providing integrated payment, savings, and lending solutions. Listed on Nasdaq Stockholm, the bank operates across multiple European countries, focusing on digital financial services, credit cards, and e-commerce solutions for both individuals and business partners.