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Machine Learning Data Engineer(m/w/x)
Description
As a Machine Learning Data Engineer, you will focus on building and scaling data pipelines, ensuring efficient data flow from raw inputs to structured formats that support the development and evaluation of ML models.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Proven experience building scalable data pipelines and tooling
- •Understanding of data usage in model training and evaluation
- •Practical experience with 3D concepts and geometry
- •Strong Python proficiency and comfort with large datasets
- •Experience working closely with ML engineers on data needs
- •MS or PhD in ML, computer vision, robotics, or related field
- •Familiarity with cloud storage and distributed processing frameworks
- •Experience handling camera, lidar, or radar data
- •Familiarity with data visualization systems like Foxglove, Rerun, or Voxel51
- •Experience with dataset versioning, preprocessing automation, or training pipeline orchestration
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Build reliable data ingestion pipelines
- •Normalize and validate customer and synthetic data
- •Create schemas and validation checks for datasets
- •Establish quality metrics for Replica datasets
- •Implement tools for dataset filtering and versioning
- •Support dataset annotation
- •Generate high-quality data feeds for ML training and evaluation
Tools & Technologies
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Impactful work
Informal Culture
- •Collaborative culture
Career Advancement
- •Professional growth
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Machine Learning Data Engineer(m/w/x)
The AI Job Search Engine
Description
As a Machine Learning Data Engineer, you will focus on building and scaling data pipelines, ensuring efficient data flow from raw inputs to structured formats that support the development and evaluation of ML models.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Proven experience building scalable data pipelines and tooling
- •Understanding of data usage in model training and evaluation
- •Practical experience with 3D concepts and geometry
- •Strong Python proficiency and comfort with large datasets
- •Experience working closely with ML engineers on data needs
- •MS or PhD in ML, computer vision, robotics, or related field
- •Familiarity with cloud storage and distributed processing frameworks
- •Experience handling camera, lidar, or radar data
- •Familiarity with data visualization systems like Foxglove, Rerun, or Voxel51
- •Experience with dataset versioning, preprocessing automation, or training pipeline orchestration
Education
Work Experience
approx. 1 - 4 years
Tasks
- •Build reliable data ingestion pipelines
- •Normalize and validate customer and synthetic data
- •Create schemas and validation checks for datasets
- •Establish quality metrics for Replica datasets
- •Implement tools for dataset filtering and versioning
- •Support dataset annotation
- •Generate high-quality data feeds for ML training and evaluation
Tools & Technologies
Languages
English – Business Fluent
Benefits
Purpose-Driven Work
- •Impactful work
Informal Culture
- •Collaborative culture
Career Advancement
- •Professional growth
About the Company
Parallel Domain
Industry
IT
Description
The company accelerates the safe development of autonomous systems through its synthetic data platform for AI-powered software.
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