Databricks AI Engineer - Remote Finland

Lokki Henkilöstöpalvelut Oy; Helsinki; Remote; EUR 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Remote work in Finland

Competitive salary

Zusammenfassung

Lokki Henkilöstöpalvelut Oy in Finland seeks an experienced Data Engineer / AI Engineer to build production-grade AI applications using Databricks.

You will design and implement data and feature pipelines (Delta Lake, Auto Loader, Spark), develop MLflow-based training and inference systems, and expose models via APIs. The role requires strong Azure experience and collaboration with the team; remote work from Finland is supported, with a 100% workload and a competitive compensation package.

Qualifikationen

• Proficiency in Spark (Python/SQL) and Delta Lake optimization.
• Experience with Delta Lake schema evolution and time travel.
• Experience building and deploying ML models to production using MLflow.
• Familiarity with Databricks Workflows/Jobs and API-based inference.

Aufgaben

• Build production-grade AI applications using Databricks capabilities.
• Design and implement data and feature pipelines (Delta Lake, Auto Loader, Spark).
• Develop and maintain MLflow-based model training and inference systems.
• Utilize Hugging Face and foundation models, including fine-tuning when needed.
• Build production processes using Databricks Workflows and Jobs.
• Implement APIs and model serving solutions.
• Participate in application change management and incident response.
• Monitor and optimize production processes (clusters, jobs, streaming).
• Contribute to architecture design and documentation.

Kenntnisse

Spark/PySpark/SQL

Delta Lake

Auto Loader

Structured Streaming

MLflow

Databricks Workflows/Jobs

Git-based development

Azure services

Tools

Databricks

Hugging Face

API development

Jobbeschreibung

Lokki Henkilöstöpalvelut Oy in Finland seeks an experienced Data Engineer / AI Engineer to build production-grade AI applications using Databricks.

You will design and implement data and feature pipelines (Delta Lake, Auto Loader, Spark), develop MLflow-based training and inference systems, and expose models via APIs. The role requires strong Azure experience and collaboration with the team; remote work from Finland is supported, with a 100% workload and a competitive compensation package.