MLOps Data Platform Engineer | Production ML & Pipelines

TF Bank AB; Województwo pomorskie; On-site; PLN 80,000 - 110,000; Full time

Benefits offered by this job

A friendly team culture

Opportunity to learn from experienced colleagues

Modern technical environment for improvement

Job summary

TF Bank AB is seeking a skilled Data Platform and MLOps engineer to support reliable analytical data flows and production-ready machine learning solutions. The role involves deploying models, improving ETL pipelines, and collaborating with various teams to ensure effective data operations.

We are looking for someone with strong Python programming skills and at least 2 years of experience in data engineering and machine learning. This is an exciting opportunity to work in a friendly and collaborative team environment in Poland.

Qualifications

• 2+ years of experience in data engineering and machine learning.
• Good understanding of databases and data warehouse concepts.
• Ability to monitor and troubleshoot data pipelines.

Responsibilities

• Deploy and support machine learning models in production.
• Collaborate with various teams to align data requirements.
• Develop automation for model deployment and data processing.

Skills

Python programming skills

Intermediate SQL knowledge

Understanding of ETL processes

Knowledge of machine learning lifecycle

Experience with cloud-based solutions

Familiarity with Docker

Tools

scikit-learn

XGBoost

Job description

TF Bank AB is seeking a skilled Data Platform and MLOps engineer to support reliable analytical data flows and production-ready machine learning solutions. The role involves deploying models, improving ETL pipelines, and collaborating with various teams to ensure effective data operations.

We are looking for someone with strong Python programming skills and at least 2 years of experience in data engineering and machine learning. This is an exciting opportunity to work in a friendly and collaborative team environment in Poland.