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ML Engineer, Cloud Platform(m/w/x)
Building backend systems and production APIs for breakthrough foundation models in scientific discovery. Strong hands-on IaC with Terraform and Kubernetes experience required. Equity, 30 days vacation.
Requirements
- 3+ years of professional experience in cloud engineering, data platform, or SRE role
- Proven experience building and maintaining data-intensive systems
- Strong hands-on experience with Infrastructure as Code (IaC) using Terraform
- Significant experience with containerization and orchestration technologies (Docker, Kubernetes)
- Proficiency in Python
- Experience building or managing infrastructure for machine learning (MLOps, model serving frameworks, feature stores, data pipelines)
- Hands-on experience with modern data warehousing and processing platforms (Databricks, Snowflake, BigQuery)
- Experience in a technical leadership or mentorship role
- Contributions to relevant open-source projects
Tasks
- Design robust and scalable backend systems
- Build production-grade APIs for serving foundation models
- Develop high-quality, maintainable code in Python/FastAPI
- Deploy and manage core infrastructure on cloud platforms
- Focus on reliability, monitoring, and cost-efficiency
- Understand the entire machine learning lifecycle
- Implement secure, GDPR-compliant systems
- Drive high standards for testing and documentation
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Terraform
- Docker
- Kubernetes
- Python
- Databricks
- Snowflake
- BigQuery
Benefits
Competitive Pay
- Offers equity
More Vacation Days
- 30 days of paid vacation
Healthcare & Fitness
- Comprehensive healthcare benefits
- Fitness benefits
Public Transport Subsidies
- Transportation benefits
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ML Engineer, Cloud Platform(m/w/x)
Building backend systems and production APIs for breakthrough foundation models in scientific discovery. Strong hands-on IaC with Terraform and Kubernetes experience required. Equity, 30 days vacation.
Requirements
- 3+ years of professional experience in cloud engineering, data platform, or SRE role
- Proven experience building and maintaining data-intensive systems
- Strong hands-on experience with Infrastructure as Code (IaC) using Terraform
- Significant experience with containerization and orchestration technologies (Docker, Kubernetes)
- Proficiency in Python
- Experience building or managing infrastructure for machine learning (MLOps, model serving frameworks, feature stores, data pipelines)
- Hands-on experience with modern data warehousing and processing platforms (Databricks, Snowflake, BigQuery)
- Experience in a technical leadership or mentorship role
- Contributions to relevant open-source projects
Tasks
- Design robust and scalable backend systems
- Build production-grade APIs for serving foundation models
- Develop high-quality, maintainable code in Python/FastAPI
- Deploy and manage core infrastructure on cloud platforms
- Focus on reliability, monitoring, and cost-efficiency
- Understand the entire machine learning lifecycle
- Implement secure, GDPR-compliant systems
- Drive high standards for testing and documentation
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Terraform
- Docker
- Kubernetes
- Python
- Databricks
- Snowflake
- BigQuery
Benefits
Competitive Pay
- Offers equity
More Vacation Days
- 30 days of paid vacation
Healthcare & Fitness
- Comprehensive healthcare benefits
- Fitness benefits
Public Transport Subsidies
- Transportation benefits
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Prior Labs
Industry
IT
Description
The company is building breakthrough foundation models that understand structured data, aiming to revolutionize scientific discovery and business intelligence.
Not a perfect match?
- SumUp
Senior AI Backend Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - Helsing
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ML Engineer, Forward Deployed(m/w/x)
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ML Engineer, Foundation Model(m/w/x)
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Data Engineer(m/w/x)
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