Senior Machine Learning Engineer (Vendor Data) - AdTech (all genders)

Requirements

• 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 problem-solving and communication skills.
• Ability to work collaboratively in a fast-paced, team-oriented environment.
• 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.

What you'll be doing

• Design, develop, and deploy machine learning solutions 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.
• Stay current with industry trends, emerging technologies, and advancements in machine learning to continually enhance service offerings.
• 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.

Perks and benefits

• 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.