AI-Driven Data Engineer for Production ML & Pipelines

Tenth Revolution Group; Helsingin seutukunta; Sur place; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Private healthcare

Wellbeing package

Lunch & sports benefits

Résumé du poste

Tenth Revolution Group in Finland is seeking a Data/Machine Learning Engineer to join a small, autonomous team building AI-driven products for real-world decision making. You will own data pipelines, manage cloud infra, train and deploy ML models across AWS/Azure, and collaborate closely with engineers in a product-focused environment.

The role offers exposure to large-scale data platforms and a modern stack with Airflow, Terraform, Docker, and CI/CD, plus health benefits and lunch and sports

Qualifications

• Strong Python and SQL skills.
• Experience building production data pipelines.
• AWS experience (S3, Redshift, Athena or similar).
• Knowledge of Infrastructure as Code and CI/CD practices.
• Experience maintaining ML models in production.
• Modern stack including AWS, Azure, GCP, Airflow, Docker and Terraform.
• Private healthcare, wellbeing package, lunch & sports benefits.
• Opportunity to influence technology choices and product direction.

Responsabilités

• Build and maintain production data pipelines using Python, SQL and Airflow.
• Manage cloud infrastructure through Terraform/CDK and CI/CD pipelines.
• Train, deploy and monitor ML models across AWS and Azure.
• Develop AI and LLM-powered features for customer-facing products.
• Own the full data lifecycle from source systems to end-user products.
• Work closely with engineers in a product-focused environment.

Connaissances

Python

SQL

ML production

Data pipelines

CI/CD

Outils

Airflow

Terraform

CDK

Docker

Cloud platforms

Description du poste

Tenth Revolution Group in Finland is seeking a Data/Machine Learning Engineer to join a small, autonomous team building AI-driven products for real-world decision making. You will own data pipelines, manage cloud infra, train and deploy ML models across AWS/Azure, and collaborate closely with engineers in a product-focused environment.

The role offers exposure to large-scale data platforms and a modern stack with Airflow, Terraform, Docker, and CI/CD, plus health benefits and lunch and sports