Middle/Senior ML Engineer

TN Germany; Leipzig; Remote; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A leading software development company is seeking a talented ML Engineer to join their international team. This fully remote position offers the chance to work on innovative projects that enhance healthcare services, requiring strong skills in Python, Apache Airflow, and machine learning concepts.

Leistungen

Flexible working hours

Fully remote job

Opportunity to work with an international team

Qualifikationen

• Experience with Apache Airflow for orchestrating data workflows.
• Knowledge of PySpark for data processing tasks.
• Ability to write SQL queries (DQL, DDL, DML).

Aufgaben

• Orchestrate data workflows using Apache Airflow.
• Handle data processing tasks with PySpark.
• Collaborate using Git for version control.

Kenntnisse

Apache Airflow

PySpark

SQL

Machine Learning

Git Version Control

Bash/Shell Scripting

Data Engineering

Cloud Development

Problem-Solving

English

Jobbeschreibung

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A software development company is looking for a talented, long-term ML Engineer with strong skills in Python.

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first-class professionals who are passionate about creating products that improve the quality of medical services.

We have the highest industry standards regarding your ability to deliver high-quality, high-performance, scalable, clean, and tested software.

Requirements:

1. Apache Airflow: Experience with Apache Airflow is crucial; candidate must be able to orchestrate data workflows using Airflow.
2. PySpark: Knowledge of PySpark is important for handling data processing tasks.
3. SQL: Ability to write SQL queries: DQL, DDL, DML.
4. Machine Learning: Familiarity with machine learning concepts and tools.
5. Git Version Control: Proficiency with Git for version control is essential for collaboration and managing changes.
6. Bash/Shell Scripting: Basic skills in bash or shell scripting are useful for running and managing deployment scripts.
7. Data Engineering: Experience with data pipelines, ETL processes, and data storage is advantageous.
8. Cloud Development: Experience with cloud platforms, especially GCP, is a significant plus.
9. Problem-Solving: Strong analytical and problem-solving skills to debug and optimize pipelines and scripts.
10. Intermediate+ English skills (at least written communication).

Additional benefits include:

• Flexible working hours;
• Fully remote job;
• Opportunity to work with an international team of first-class professionals.