Senior MLOps Engineer
Location
Hamburg, Germany
Work type
Hybrid
Employment
Full Time
Experience
5+ years
Compensation
Compensation not disclosed
Posted
2w ago
Summary and responsibilities
Role overview
Summary
This role involves designing and managing continuous training and scheduling logic for ML models to ensure they remain current with new data. The engineer will build ML monitoring systems to detect data skew and distribution shifts, preventing performance degradation. Additionally, responsibilities include deploying deep learning models into low-latency APIs and collaborating with the Infrastructure team to develop a robust ML platform.
Meet Your Team: Playtime Data Science
Playtime is a time- and event-based ad unit that continuously rewards users with in-app currency – for the time they spend and events completed while playing mobile games. We connect advertisers to 700+ million Playtime users and serve 2bn requests per day at low latency. We ensure that all parties involved have a positive experience. Advertisers get more users for their apps. Monetizers earn revenue for users on their platforms. Users play fun games while simultaneously getting rewarded.
Our data science team powers the engine that distributes our ads. They solve multiple tasks such as developing algorithms to provide the most relevant ads for users, predicting user interests and inclinations, and dynamically adjusting pricing based on these predictions. Because the user base is very diverse we are using deep learning models that we could show to be able to serve the best ads to users.
Within the Playtime team you will be responsible for services and models that we use to provide automated solutions both for our advertisers and publishers.
What you will do:
Continuous Training & Automation: Design and manage continuous training (CT) and scheduling logic to ensure our models stay fresh as new data flows.
Observability & Data Quality: Build ML monitoring systems for data skew and distribution shifts, catching performance decay before it impacts our users and product KPIs.
High-Performance Deployment: Wrap deep learning models into low-latency APIs and lead load testing to ensure our services remain solid under 2bn+ daily requests, using deep-dive resource profiling to guide efficiency and optimize model performance.
ML Platform Infrastructure: Partner with the Infra team to architect a robust ML platform, providing Data Scientists with automated access to the CPU/GPU clusters they need for both development and production.
Who you are:
You have 5+ years in MLOps or ML Engineering, with a track record of deploying and maintaining models in high-traffic production environments.
You understand the end-to-end ML lifecycle and have a functional grasp of ML algorithms.
You are proficient in Python with experience in specialized serving frameworks like Triton, ONNX Runtime, or TF Serving for ultra-low-latency inference.
You have hands-on experience with Kubernetes, Docker, and orchestration tools like Airflow / Kubeflow to manage model workflows.
You are an expert in tracking model drift and data quality using frameworks like Evidently ensuring high-quality alerts are integrated directly into production monitoring and alerting pipelines.
You are open to relocating to Hamburg, Germany.
Plus: Experience in the AdTech industry.
Fuel for the Journey: Benefits to Support Your Ambitions
Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skillset and achieve your career goals.
Easy Arrival to adjoe: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at adjoe in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
Thrive Where You Work: Enjoy the Alster lake view from our central office with top-notch equipment, fun open spaces, and a large variety of snacks and drinks.
Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
Updated 2w ago
Candidate fit
Skills and qualifications
Additional skills
Experience
5+ years
How this role is positioned
Role classification
Job domains
Industries
Employment
Full Time
Contract duration
Permanent
Hiring type
Direct
Global hiring
Location specific
Offer details
Compensation and benefits
Compensation
Compensation not disclosed
Benefits and perks
Location, schedule, and role shape
Work setup
Work conditions
Bandwidth profile
Context on the employer
Company snapshot
Company
adjoe
Team size
Growing team
Location
Hamburg, Germany
adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. Together, this ecosystem connects app developers to over 770 million users worldwide for scalable growth. We are a profitable, high-growth company backed by a $100 million investment from Bertelsmann. Operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us.
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Senior MLOps Engineer
Hamburg, Germany • Full Time