AI Tooling, Automation & Data Engineer (m/f/d)

Sereact GmbH; Deutschland; Hybrid; EUR 55.000 - 80.000; Vollzeit

Zusammenfassung

A rapidly growing AI company in Germany is seeking an AI Tooling & Data Engineer to design and maintain tools and pipelines for managing AI workflows. The ideal candidate will have a degree in Computer Science or related fields and expertise in Python and Pytorch. The role includes automating workflows and ensuring data quality, with ample scope for creativity and development opportunities.

Leistungen

Gym membership

Free meals at workplace

Flexible working hours

Option to work from home

Direct collaboration with founders

Competitive compensation

Qualifikationen

• Bachelor's degree in relevant fields.
• Proficiency in Python and experience with Pytorch.
• Experience with cloud platforms and data processing.

Aufgaben

• Develop and maintain AI tooling and data pipelines.
• Ensure data quality and consistency.
• Automate workflows for data labeling and preprocessing.

Kenntnisse

Proficiency in Python

Experience with Pytorch

Experience with data processing frameworks

Strong understanding of data management

Knowledge of cloud platforms

Ausbildung

Bachelor's degree in Computer Science, Data Engineering, or related fields

Tools

Data management and labeling platforms

Jobbeschreibung

Who We Are:

We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries-empowering businesses to streamline operations, boost productivity, and unlock new possibilities.
Overview

We are seeking an AI Tooling & Data Engineer to design and maintain tools and pipelines for managing AI workflows and data. You will build systems that enable efficient data processing and integration across AI projects.
Key Responsibilities

• Develop and maintain AI tooling and data pipelines.
• Ensure data quality and consistency across projects.
• Automate workflows for data labeling, preprocessing, and model evaluation.
• Collaborate with AI teams to improve tooling efficiency.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related fields.
• Proficiency in Python, Pytorch and experience with data processing frameworks.
• Experience with cloud platforms and data management and labeling platforms
• Experience with building pipeline to automate data processing and assessment operations.
• Experience with frameworks and metrics for models version control, drift measurement and performance evaluation.
• Strong understanding of data management and version control.
  
  What We Offer:
  
  • Wellpass (gym membership)
  • Free meals at the workplace
  • Flexible working hours
  • Option to work from home when needed
  • Direct collaboration with founders and executives
  • Ample scope for creativity in developing new ideas and HR concepts
  • A motivated team and an open corporate culture
  • Competitive compensation and excellent career development opportunities