(Senior) ML Platform Engineer, Billie
ML Platform
Plus Virtual Shares Incentive Program
Buy Now, Pay Later payments for business
Be an early applicant
Buy Now, Pay Later payments for business
101-200 employees
Be an early applicant
Plus Virtual Shares Incentive Program
101-200 employees
Company mission
To simplify purchasing for all companies and open up new opportunities for growth.
Role
Who you are
- You are familiar with data versioning and data governance practices
- You have an understanding of model versioning, reproducibility, and Experimentation using tools like MLflow or Weights & Biases
- You have experience with machine learning workflows and MLOps tools such as Metaflow and MLflow
- You have knowledge of model deployment, serving, and monitoring using tools like AWS SageMaker, KServe, Seldon Core
- You are familiar with model training and inference using popular frameworks like Scikit-learn or (optional) TensorFlow, PyTorch
- You are able to design and implement model deployment pipelines using Github Actions, ArgoCD or similar
- You have experience using orchestration tools such as Airflow, ArgoCD, Prefect
- You are able to collaborate with data scientists to deploy, monitor, and optimize ML models in production
What the job involves
- As a Senior MLOps Engineer, you will 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 in ML model lifecycle management, CI/CD for machine learning, and MLOps best practices will be key in supporting various AI and machine learning initiatives across the organization
- Design and implement a scalable and reliable ML platform: Develop robust ML pipelines for real-time and batch processing using tools such as MLflow, Kubeflow, Metaflow
- Ensure that ML model predictions are delivered reliably and timely and are continuously monitored for performance, accuracy, and reliability
- Maintain and extend our inhouse batch and real-time feature platforms that power dozens of feature pipelines allowing timely data for model inference and reliable point in time accurate data for model training
- Collaborate with cross-functional teams: Work closely with data scientists and data engineers to understand model and feature requirements and translate them into scalable and reliable pipelines
- Drive continuous improvement: Actively contribute to the team's knowledge sharing, participate in tech talks, and 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
Our take
Buy Now, Pay Later(BNPL) options have exploded in popularity in recent years, with companies such as Klarna and Clearpay providing an additional line of credit to customers allowing them to split the cost of their purchases over several installments. Billie is a BNPL built for business transactions, using machine-learning driven risk models to responsibly finance B2B purchases.
With over 100,00 customers processing more than €750 million on its platform, Billie does not face much competition in its market. While BNPL firms like Afterpay and Klarna could theoretically move into the B2B space, they are specialised in B2C financing and lack Billie's data on the B2B sector. Billie also boasts a range of features designed specifically for intra-company sales such as instant verification, invoicing tools and business payment options which give it a large advantage against any new rivals.
Billie has raised a significant amount of funding from investors, most recently in a 2021 Series C round. Additionally Its 2022 integration with Klarna, allowing companies with a Klarna installation to swiftly switch over to Billie's payment options for B2B sales has removed a major roadblock to its future expansion. This move, alongside its entrance into more markets in Europe, will likely speed the company's ascension to Unicorn status and solidify its market lead in the BNPL space.
Kirsty
Company Specialist
Insights
Many candidates hear
back within 2 weeks
1% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2021
$100m
SERIES C
Jul 2019
$33.1m
SERIES B
Total funding: $148.1m
Company benefits
- Flexibility first: We come to the office for important events, but do not have a permanent office presence. Our teams decide how to get the best results
- 30 days vacation per year and 5 extra paid days to look after sick children
- Virtual Share Program
- German language courses from different language levels free of charge
- One-off relocation bonus to make your move easier
- Reimbursement of travel expenses and discount on local public transport in Berlin with the BVG
- Individual training budget of 1,000 euros for courses, conferences and more every year
- Free gym access, weekly yoga classes, healthy snacks, cereals, drinks and more
Company values
- We are pioneers
- We want to make a difference
- We focus on people
Company HQ
Kreuzberg, Berlin, Germany
Articles
Leadership
Aiga Senftleben
(General Counsel)Previously worked on the Legal Counsel at eBay and Paypal. Also worked at Funding Circle Deutschland as a General Counsel and is now a member of the Digital Finance Forum at the Federal Ministry of Finance (Germany)
Christian Grobe
(MD)Graduated from the Free University of Berlin with a Ph.D. in Political Science. Previously co-founded Funding Circle/Zencap where they served as the Managing Director. Also Worked as an Engagement Manager at McKinsey & Company.
Dr. Matthias Knecht
(Co-CEO)Previously co-founded Funding Cirlce/Zencap where they served as Managing Director. Also worked as an Engagement Manager at McKinsey & Company.
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