Senior Machine Learning Engineer Vendor Data AdTech
Senior Machine Learning Engineer Vendor Data AdTech
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Job Description
We are looking for a talented and motivated Senior Machine Learning Engineer Vendor to build a best in class Machine Learning platform to support our fundamental shift to machine learning in the Vendor vertical at Delivery Hero. You will be working with a team of ML Engineers and Data Scientists deploying advanced ML services to solve complex problems delivering revenue for Delivery Hero at the frontline of our profitability journey.
At Delivery Hero we are exploring the potential of AdTech to introduce people to new food they love and to enable our partners to meet their future customers at the perfect moment. We have developed a range of products to offer advertising solutions for restaurants helping them to increase their visibility and reach improve their order conversion and eventually drive more sales by covering the entire marketing funnel. Operating across over 50 countries around the clock our Ad Tech connects the ideal advertiser with the ideal customer millions of times every day. In 2025 Ad Tech is a fundamental area for us on our path to profitability and is predicted to generate more than 1 billion euros in revenue for Delivery Hero; our innovative tech and product offering is the backbone of that development.
The Vendor Data tribes mission is to drive innovation insightdriven decision making and to solve business problems through a culture of excellence and openness. The tribe comprises teams of skilled analysts engineers and scientists working together to deliver data solutions covering a host of business opportunities across all of Delivery Heros 70 markets.
If youre a builder in machine learning who is hungry for a new adventure an international workplace is waiting for you in the heart of Berlin!
Your mission:
Design develop and deploy machine learning solutions and services tailored to specific product requirements.
Collaborate with crossfunctional teams to understand business objectives and translate them into effective ML solutions.
Implement scalable and reliable infrastructure to support machine learning services in a production environment.
Conduct performance analysis and optimization of ML services to ensure efficiency and effectiveness.
Provide technical expertise and support to stakeholders during the integration and deployment of machine learning solutions.
Collaborate with data scientists ML engineers software engineers and other stakeholders to ensure seamless integration of ML services into existing systems.
Qualifications :
Proven experience in developing and deploying machine learning models in a production environment.
Deep understanding of storage and caching methodologies.
Strong programming skills in languages such as Python Java or Golang.
Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch).
Solid understanding of cloud platforms (e.g. AWS Azure GCP) and containerization technologies (e.g. Docker Kubernetes).
Excellent interpersonal skills and the ability to collaborate in interdisciplinary teams and stakeholders including product and engineering teams.
Nice to have:
Experience working in an Ad Tech data science team involving neural networkbased machine learning solutions to ranking recommendations and bidding.
Additional Information :
Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.
Make the most of our hybrid working model and join the team for facetoface connection and collaboration in our beautiful Berlin campus 2 days a week
We offer 27 days holiday with an extra day on 2nd and 3rd year of service
We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support and access to the Udemy Business platform to explore a variety of online courses.
Get moving and release those wonderful mindboosting endorphins: Health Checkups Meditation Yoga Gym & Bicycle Subsidy
Cash. Dough. Cheddar. Whatever you call it well help you with it: Employee Share Purchase Plan Sabbatical Bank Public Transportation Ticket Discount Life & Accident Insurance Corporate Pension Plan
The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses.
Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!
We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust include it in your application. Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
