Nejo Logo
Jobs finden
nach Anstellungsart

Finde Jobs nach Arbeitszeit

  • Geringfügige Jobs
  • Teilzeit Jobs
  • Lehrstellen
  • Praktikumsplätze
nach Stadt

Jobs in deiner Nähe finden

  • Jobs in Wien
  • Jobs in Graz
  • Jobs in Linz
  • Jobs in Salzburg
  • Jobs in Innsbruck
  • weitere Städte
nach Beruf

Erkunde Jobs nach Berufsfeld

  • Fahrer Jobs
  • IT Jobs
  • Feuerwehr Jobs
  • Hausmeister Jobs
  • Vertrieb Jobs
  • weitere Berufe
nach Erfahrungslevel

Jobs passend zu deiner Erfahrung

  • Quereinsteiger Jobs
  • Berufseinsteiger Jobs
  • Manager Jobs
nach Arbeitsweise

Wähle deine bevorzugte Arbeitsweise

  • Remote Jobs
  • Home Office Jobs
Studenten
Schüler
Blog
Jobs finden
nach Anstellungsart

Finde Jobs nach Arbeitszeit

  • Geringfügige Jobs
  • Teilzeit Jobs
  • Lehrstellen
  • Praktikumsplätze
nach Stadt

Jobs in deiner Nähe finden

  • Jobs in Wien
  • Jobs in Graz
  • Jobs in Linz
  • Jobs in Salzburg
  • Jobs in Innsbruck
  • weitere Städte
nach Beruf

Erkunde Jobs nach Berufsfeld

  • Fahrer Jobs
  • IT Jobs
  • Feuerwehr Jobs
  • Hausmeister Jobs
  • Vertrieb Jobs
  • weitere Berufe
nach Erfahrungslevel

Jobs passend zu deiner Erfahrung

  • Quereinsteiger Jobs
  • Berufseinsteiger Jobs
  • Manager Jobs
nach Arbeitsweise

Wähle deine bevorzugte Arbeitsweise

  • Remote Jobs
  • Home Office Jobs
StudentenSchülerBlogNejo LinkedIn

Senior Machine Learning Engineer(m/w/x)

Delivery Hero
Berlin

You design and implement machine learning models while collaborating with various teams to ensure solutions align with business goals. Your role includes optimizing performance and supporting integration efforts for smooth deployment.

Anforderungen

  • •Proven experience in machine learning models
  • •Deep understanding of storage methodologies
  • •Strong programming skills in Python, Java, or Golang
  • •Experience with TensorFlow and PyTorch
  • •Solid understanding of AWS, Azure, GCP
  • •Knowledge of Docker and Kubernetes
  • •Excellent interpersonal skills for collaboration
  • •Experience in Ad Tech data science team

Deine Aufgaben

  • •Design and deploy machine learning models.
  • •Collaborate with teams to define business objectives.
  • •Implement infrastructure for machine learning services.
  • •Analyze and optimize performance of ML services.
  • •Provide support during integration of ML solutions.
  • •Work with data scientists and engineers for integration.

Deine Vorteile

Hybrid working model
27 days holiday
1.000 € Educational Budget
Language courses
Parental support
Access to Udemy Business
Health checkups
Meditation and yoga
Gym and bicycle subsidy
Employee Share Purchase Plan
Sabbatical bank
Public transportation ticket discount
Life and accident insurance
Corporate pension plan
Digital meal vouchers
Food vouchers
Corporate discounts

Original Beschreibung

## Job Description We are on the lookout for a Senior Machine Learning Engineer to join our AdTech tribe on our journey to always deliver amazing experiences. As part of our Vendor Team, you’ll be the driving force behind the success of thousands of restaurants, shops, and local businesses. Your contributions will empower vendors with advanced tools to manage their operations, boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes, strengthening Delivery Hero’s ecosystem and impact. * Design, develop, and deploy machine learning models and services tailored to specific product requirements. * Collaborate with cross-functional 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 network-based 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 you’re in good shape, then we’re in good shape. * Make the most of our hybrid working model and join the team for face-to-face 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, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy * Cash. Dough. Cheddar. Whatever you call it, we’ll 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. 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 experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.
Lade Jobdetails..
Über UnsProdukteKontaktImpressumDatenschutzNutzungsbedingungenCookie-Einstellungen
© 2025 Nejo
© 2025 nejo jobs