Jobs in Germany
We are Billie, the leading provider of Buy Now, Pay Later (BNPL) payment methods for businesses, offering B2B companies innovative digital payment services and modern checkout solutions. We are to create a new standard for business payments and have made it our mission to simplify the purchasing experience for all businesses making it a tool for growth. Our solutions are based on proprietary, machine-learning-supported risk models, fully digitized processes and a highly scalable tech platform. This makes us a deep-tech company building financial products, not the other way around. We love building simple and elegant solutions and we strive for automation and scalability.
About the role:
Join our dynamic team in Berlin as a Senior MLOps Engineer and play a crucial role in shaping the future of our ML infrastructure. You'll be responsible for designing, building, and maintaining scalable and resilient machine learning pipelines that support real-time and batch model deployment and monitoring. Your expertise will be key in supporting various AI and machine learning initiatives across the organization, making a real-time, real-life impact on our business.
What you will be working on:
ML Platform Development and Maintenance
- Design and implement a scalable and reliable ML platform using tools such as MLflow, Kubeflow, and Metaflow
- Ensure timely and reliable delivery of ML model predictions, with continuous monitoring for performance, accuracy, and reliability
- Maintain and extend our in-house batch and real-time feature platforms powering numerous feature pipelines
Cross-functional Collaboration
- Work closely with data scientists and data engineers to understand model and feature requirements
- Translate requirements into scalable and reliable pipelines
- Collaborate on deploying, monitoring, and optimizing ML models in production
Continuous Improvement and Innovation
- Actively contribute to the team's knowledge sharing and participate in tech talks
- Drive architectural decisions as the subject matter expert (SME) in MLOps
- Stay abreast of industry trends and advancements in MLOps technologies to improve our ML Platform
Who we are looking for:
- Extensive experience with machine learning workflows and MLOps tools such as Metaflow and MLflow
- Strong knowledge of model deployment, serving, and monitoring using tools like AWS SageMaker, KServe, Seldon Core
- Proficiency in designing and implementing model deployment pipelines using Github Actions, ArgoCD, or similar tools
- Experience with orchestration tools such as Airflow, ArgoCD, Prefect
- Familiarity with data versioning, data governance practices, and model versioning
- Understanding of reproducibility and experimentation using tools like MLflow or Weights & Biases
- Knowledge of model training and inference using popular frameworks like Scikit-learn (TensorFlow or PyTorch is a plus)
- Excellent collaboration skills, particularly in working with data scientists on model deployment and optimization
What we offer:
- Flexible work hours and trust in your ability to deliver, empowering you to take control of your work-life balance
- Hybrid working approach enabling a good balance working from home and the office
- One of the best Virtual Shares Incentive Programs in the market, so that everyone at Billie is invested in our success
- Our "Catch a Ride with Billie" program, that enables discounted access to Berlin Public Transport (BVG)
- A yearly development budget to broaden your skill set and horizons
- Free German group classes
- An English-speaking, multicultural team with more than 46 nationalities
- Great office space at Checkpoint Charlie with free gym access, barista coffee, drinks and more
Billie offers you the opportunity to be a part of one of the fastest-growing Fintech startups in Europe following the mission to innovate to create new freedom for businesses of all sizes. Our combined decades of experience in B2B Financing and Payments in a market thirsty for innovation and change make this a fantastic possibility to get into the most dynamic space in tech.
Join an international team of talented, passionate people where drive and merit matter. We work in nimble, cross-functional teams with open communication lines across the company. You'll be surrounded by smart people from a wide variety of backgrounds from which you can learn and that want to learn from you.
Are you ready to join Billie?
Billie is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment in our workplace. By embracing talents and abilities of all kinds, we aim to boost motivation and team creativity. We do not discriminate on the basis of race, religion, national origin, age, marital status, gender, political views, beliefs, sexual orientation, color, disability status, or any other demographic factors.
Jobs at Billie
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