adjoe
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Hamburg
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ADadjoe
Senior MLOps Engineer(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing ML monitoring systems and wrapping deep learning models into low-latency APIs for mobile ads. 5+ years in MLOps or ML Engineering required. Hybrid work setup, 3 weeks remote work per year.
Requirements
- 5+ years in MLOps or ML Engineering
- Track record of deploying/maintaining models in high-traffic production
- Understanding of end-to-end ML lifecycle
- Functional grasp of ML algorithms
- Proficiency in Python
- Experience with serving frameworks (Triton, ONNX Runtime, TF Serving)
- Hands-on experience with Kubernetes
- Hands-on experience with Docker
- Experience with orchestration tools (Airflow, Kubeflow)
- Expertise in tracking model drift
- Expertise in tracking data quality
- Experience with Evidently framework
- Openness to relocating to Hamburg, Germany
- Experience in AdTech industry (Plus)
Tasks
- Design and manage continuous training and scheduling logic
- Build ML monitoring systems for data skew and distribution shifts
- Catch performance decay before it impacts users and product KPIs
- Wrap deep learning models into low-latency APIs
- Lead load testing to ensure service stability under 2bn+ daily requests
- Conduct deep-dive resource profiling to optimize model performance
- Partner with Infra team to architect a robust ML platform
- Provide Data Scientists with automated access to CPU/GPU clusters
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- ML Engineering
- Python
- Triton
- ONNX Runtime
- TF Serving
- Kubernetes
- Docker
- Airflow
- Kubeflow
- Evidently
Benefits
Flexible Working
- Hybrid work setup
- Flexible working hours
- 3 weeks remote work per year
Career Advancement
- Regular feedback
Learning & Development
- Development program
Other Benefits
- Visa sponsorship
- German language support
Additional Allowances
- Relocation bonus
More Vacation Days
- 30 vacation days
Healthcare & Fitness
- In-house gym access
- Fitness classes
Mental Health Support
- Employee Assistance Program (EAP)
Modern Office
- Office with Alster lake view
- Open spaces
Modern Equipment
- Top-notch equipment
Snacks & Drinks
- Snacks and drinks
Team Events
- Team events
- Company events
- Hackathons
- Social gatherings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of adjoe 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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ADadjoe
Senior MLOps Engineer(m/w/x)
Hamburg
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Designing ML monitoring systems and wrapping deep learning models into low-latency APIs for mobile ads. 5+ years in MLOps or ML Engineering required. Hybrid work setup, 3 weeks remote work per year.
Requirements
- 5+ years in MLOps or ML Engineering
- Track record of deploying/maintaining models in high-traffic production
- Understanding of end-to-end ML lifecycle
- Functional grasp of ML algorithms
- Proficiency in Python
- Experience with serving frameworks (Triton, ONNX Runtime, TF Serving)
- Hands-on experience with Kubernetes
- Hands-on experience with Docker
- Experience with orchestration tools (Airflow, Kubeflow)
- Expertise in tracking model drift
- Expertise in tracking data quality
- Experience with Evidently framework
- Openness to relocating to Hamburg, Germany
- Experience in AdTech industry (Plus)
Tasks
- Design and manage continuous training and scheduling logic
- Build ML monitoring systems for data skew and distribution shifts
- Catch performance decay before it impacts users and product KPIs
- Wrap deep learning models into low-latency APIs
- Lead load testing to ensure service stability under 2bn+ daily requests
- Conduct deep-dive resource profiling to optimize model performance
- Partner with Infra team to architect a robust ML platform
- Provide Data Scientists with automated access to CPU/GPU clusters
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- MLOps
- ML Engineering
- Python
- Triton
- ONNX Runtime
- TF Serving
- Kubernetes
- Docker
- Airflow
- Kubeflow
- Evidently
Benefits
Flexible Working
- Hybrid work setup
- Flexible working hours
- 3 weeks remote work per year
Career Advancement
- Regular feedback
Learning & Development
- Development program
Other Benefits
- Visa sponsorship
- German language support
Additional Allowances
- Relocation bonus
More Vacation Days
- 30 vacation days
Healthcare & Fitness
- In-house gym access
- Fitness classes
Mental Health Support
- Employee Assistance Program (EAP)
Modern Office
- Office with Alster lake view
- Open spaces
Modern Equipment
- Top-notch equipment
Snacks & Drinks
- Snacks and drinks
Team Events
- Team events
- Company events
- Hackathons
- Social gatherings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of adjoe 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
adjoe
Industry
Marketing
Description
The company is a leading mobile ad platform developing cutting-edge advertising and monetization solutions for app partners.
Not a perfect match?
- adjoe
Senior Machine Learning Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - adjoe
Senior Data Scientist(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - adjoe
Staff Data Scientist (AdTech Expert)(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - adjoe
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorHamburg - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Full-timeWith HomeofficeExperiencedFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin