Senior Machine Learning Engineer

Key Skills

Apache Kafka, AWS, AWS Sagemaker, Databricks, Fin-tech, Fraud Risk, Kubernetes-K8s, Machine learning techniques, OOPS, Python Programming, Solidworks, Spark-SQL, VertexAI

Job Description

Job Description

The role

As a Senior Machine Learning Engineer at Checkout.com in the Risk team, you will play a vital role in the design and development of our machine learning platform.You will contribute to the establishment of standards & architecture and collaborate with product and engineering leaders to shape our technical and product roadmap. You are versed in the machine learning based products’ life cycle

How you’ll make an impact

• Working as part of a cross-functional product team to develop solutions for our Risk, ID & Fraud services.
• Contributing to technical and architectural decisions
• Gathering requirements and scoping out projects with the rest of the team
• Actively promoting innovative thinking, designing processes that encourage more ideation
• Acting as a filter balancing risk and reward in measurable ways

Qualifications

What we’re looking for

• Experience designing and operating large ML inference platforms.
• Dealing with data on high volume in a high availability production systems
• Proficiency in Cloud-based application development (we use AWS)
• Experience with one or more of these technologies: Spark, Kafka, SageMaker, Databricks, Vertex AI, Kubeflow
• Versed in Python.
• Experience monitoring production ML systems.
• Experience in algorithm design and implementation or experience working within Machine Learning & Research teams
• Strong knowledge and appreciation for software design and architecture
• Enthusiastic about delivery and experience working in a fast-paced agile environment
• Desire to work on an exciting product suite within a fast scaling technical business
• Excellent practical knowledge of OOP concepts and SOLID principles
• Excellent communication skills, ability to interact effectively with multidisciplinary teams
• Experience with FinTech, fraud detection or risk management systems is a significant plus

Additional Information

Apply without meeting all requirements statement

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use.

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us.

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.