Associate Machine Learning Engineer ( Consumer - Global Recommendations & AI - Machine Learning Platform )

Requirements

• Problem-Solving Skills: Strong analytical and problem-solving skills, with familiarity in modern programming languages like Python, Java, or Golang.
• Real-World Experience: Hands-on experience building features for applications deployed in live environments.
• Innovation Mindset: Proven ability to create demo applications and proof of concepts using open-source tools.
• Growth Orientation: A strong desire for continuous learning and professional development.
• Team Player: A collaborative spirit and a commitment to understanding and addressing customer pain points.
• Effective Communicator: Excellent communication skills, both written and verbal, with fluency in English.
• Troubleshooting Skills: Ability to analyze issues, identify root causes, and determine effective solutions.

Nice to Have

• Experience with public cloud platforms, particularly GCP.
• Familiarity with bootstrapping development environments for new projects.
• Understanding of MLOps principles and practices.

What You'll Be Doing

• Be part of a team that powers personalized experiences for millions of customers across the globe, every single day.
• Build and Innovate: Contribute to the development of our Global ML Platform's features, taking ownership and driving impactful changes.
• Collaborate and Solve: Partner closely with data scientists and software engineers to understand their needs and create solutions that optimize their workflows.
• Craft Quality Code: Write clean, maintainable code, comprehensive test cases, and clear documentation for your components.
• Share and Learn: Present your solutions to stakeholders, gather feedback, and iterate to improve.
• Grow and Adapt: Embrace new technologies and apply them to solve challenging problems in our dynamic global environment.

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.