Machine Learning Ops and Data Engineer · Gdańsk ·

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

About the role

This role combines data platform engineering and MLOps responsibilities, supporting both reliable analytical data flows and production-ready machine learning solutions. The person will maintain and improve ETL pipelines, support the data platform environment, and help deploy, monitor, and optimize machine learning models in production. The role requires close cooperation with Data Science, Engineering, BI, Risk, and IT teams to ensure that data and model processes are scalable, well-documented, stable, and aligned with business needs.

Key Responsibilities

As a Data Platform and MLOps engineer, you will be part of our Data Platform team and play an important role in our daily operations. Your responsibilities will include:

• 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.

• Troubleshoot, debug, upgrade, and improve existing software, pipelines, and deployment processes.

• Gather and evaluate user feedback, recommend improvements, and execute enhancements.

• Maintain technical documentation for data processes, model deployments, configurations, and operational procedures.

Qualifications and Experience

We are looking for someone who has:

• 2+ years of experience in data engineering and machine learning

• Strong Python programming skills and intermediate SQL knowledge

• Good understanding of databases, data warehouse concepts, and ETL processes

• Understanding of machine learning lifecycle and model operationalization

• Using LLM’s to generate and optimize code, ability to use AI platform features to enhance and speed up workflows

• Knowledge of DevOps practices, CI/CD pipelines, and version control

• Experience with cloud-based analytical and reporting solutions, preferably Azure

• Familiarity with machine learning frameworks and tools such as scikit-learn and XGBoost

• Familiarity with containerization technologies such as Docker

• Ability to monitor, troubleshoot, and optimize data pipelines, infrastructure, and deployed models

• Experience with software design, development, debugging, and documentation

• Proficient English, B1/B2 level or higher. Fluent in Polish.

What we Offer

• A friendly and collaborative team culture

• The opportunity to learn from experienced colleagues and grow within IT

• A modern technical environment with room for improvement and innovation

• A workplace where teamwork, curiosity, and continuous improvement are valued