Delivery Hero
Principal ML Engineer (Agentic AI)(m/w/x)
Full-timeWith HomeofficeSenior
Berlin
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DEDelivery Hero
Senior Machine Learning Engineer - Tech Foundations - Global Machine Learning Platform(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing and maintaining scalable ML infrastructure for a global delivery platform. 5+ years of software or ML engineering experience required. 27 days holiday, with extra days on 2nd and 3rd year.
Requirements
- 5+ years Software Engineering, ML Engineering, MLOps, or Platform Engineering experience
- High-quality, maintainable code in Python or Golang
- Designing and building complex applications and distributed systems
- Software Design, Microservices, and Cloud Architecture Best Practices
- Containerization and orchestration tools (Docker, Kubernetes, Helm)
- CI/CD pipelines
- Infrastructure as Code (Terraform or equivalent)
- ML engineering ecosystem familiarity
- ML tools (Metaflow, MLflow, Argo Workflows, Jupyter Notebooks)
- Serving Frameworks (Triton)
- Public cloud platforms (Google Cloud and AWS)
- Technical deep-dives, investigations, debugging, and RCA
- Technical explorations and solution proposals
- Exceptional written and verbal English communication
- Contributing to and influencing architectural reviews and strategy
- English language proficiency
Tasks
- Define long-term technical vision and roadmap
- Lead design and maintenance of scalable ML infrastructure
- Manage entire ML lifecycle at scale
- Translate pain points into platform features
- Champion and implement new technologies
- Build highly available, secure systems
- Optimize performance, security, and efficiency
- Leverage modern cloud infrastructure
- Use Infrastructure as Code and container orchestration
- Define and enforce engineering best practices
- Write and share technical documents and RFCs
- Mentor junior and mid-level engineers
- Ensure code quality and consistency
- Promote team-wide technical excellence
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Golang
- GitOps
- MLOps
- DevOps
- Docker
- Kubernetes
- Helm
- Terraform
- Metaflow
- MLflow
- Argo Workflows
- Jupyter Notebooks
- Triton
- Google Cloud
- AWS
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Yoga
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life insurance
- Accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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DEDelivery Hero
Senior Machine Learning Engineer - Tech Foundations - Global Machine Learning Platform(m/w/x)
Berlin
Full-timeWith Home OfficeSenior
AI/ML
Nejo AI Summary
Designing and maintaining scalable ML infrastructure for a global delivery platform. 5+ years of software or ML engineering experience required. 27 days holiday, with extra days on 2nd and 3rd year.
Requirements
- 5+ years Software Engineering, ML Engineering, MLOps, or Platform Engineering experience
- High-quality, maintainable code in Python or Golang
- Designing and building complex applications and distributed systems
- Software Design, Microservices, and Cloud Architecture Best Practices
- Containerization and orchestration tools (Docker, Kubernetes, Helm)
- CI/CD pipelines
- Infrastructure as Code (Terraform or equivalent)
- ML engineering ecosystem familiarity
- ML tools (Metaflow, MLflow, Argo Workflows, Jupyter Notebooks)
- Serving Frameworks (Triton)
- Public cloud platforms (Google Cloud and AWS)
- Technical deep-dives, investigations, debugging, and RCA
- Technical explorations and solution proposals
- Exceptional written and verbal English communication
- Contributing to and influencing architectural reviews and strategy
- English language proficiency
Tasks
- Define long-term technical vision and roadmap
- Lead design and maintenance of scalable ML infrastructure
- Manage entire ML lifecycle at scale
- Translate pain points into platform features
- Champion and implement new technologies
- Build highly available, secure systems
- Optimize performance, security, and efficiency
- Leverage modern cloud infrastructure
- Use Infrastructure as Code and container orchestration
- Define and enforce engineering best practices
- Write and share technical documents and RFCs
- Mentor junior and mid-level engineers
- Ensure code quality and consistency
- Promote team-wide technical excellence
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
Tools & Technologies
- Python
- Golang
- GitOps
- MLOps
- DevOps
- Docker
- Kubernetes
- Helm
- Terraform
- Metaflow
- MLflow
- Argo Workflows
- Jupyter Notebooks
- Triton
- Google Cloud
- AWS
Benefits
More Vacation Days
- 27 days holiday
- Extra holiday day on 2nd year of service
- Extra holiday day on 3rd year of service
Additional Allowances
- 1000 EUR Educational Budget
- Digital meal vouchers
- Food vouchers
Learning & Development
- Language courses
- Udemy Business platform access
Family Support
- Parental support
Healthcare & Fitness
- Health checkups
- Yoga
- Gym subsidy
Mental Health Support
- Meditation
Company Bike
- Bicycle subsidy
Competitive Pay
- Employee Share Purchase Plan
Workation & Sabbatical
- Sabbatical bank
Public Transport Subsidies
- Public transportation ticket discount
Other Benefits
- Life insurance
- Accident insurance
Retirement Plans
- Corporate pension plan
Corporate Discounts
- Corporate discounts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Delivery Hero and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Delivery Hero
Industry
Other
Description
The company is a pioneering local delivery platform operating in over 70 countries, focused on delivering an amazing experience.
Not a perfect match?
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