locationKreisfreie Stadt Berlin, Berlin, Germany
location Software Development

We are looking for an innovative python engineer with a broad vision and experience in building and running machine learning infrastructure.

As a Python / MLOps engineer, you'll work closely with the company's Data Science, Analytics, and Engineering teams to ensure the robust transition of our ML algorithms to production systems.

You will assist in designing, building and scaling our data and machine learning infrastructure to increase automation and improve the quality of production models.

Our culture is defined by intellectual curiosity, collaboration and caring for each other. If this sounds like an environment you would like to be part of and thrive in, we would love to hear from you.

You will be doing/responsible for:

  • Maintain and improve current automated ML training pipelines and ML experimentation infrastructure focusing on scalability, usability, and performance.
  • Improve current model tracking, versioning, monitoring, and management parts.
  • Together with the team, analyze and prioritize new features for the ML platform.
  • Work with the ML / Analytics team to build tools for analysis, testing, and deployment of ML models.
  • Work with infrastructure engineers on planning and implementing joint projects.

We are looking for:

  • Extensive experience running Python in a production environment
  • Strong understanding of software testing, benchmarking, and DevOps principles
  • Working knowledge of Amazon Athena/Amazon Redshift/PostgreSQL or similar
  • Excellent at communicating in English

Nice to have

We encourage you to apply even if you’re still developing some of these skills.

  • Good understanding of distributed systems and their challenges
  • Understanding of fundamental ML concepts like model parameters, metrics, biases, and datasets
  • Experience productionizing ML models
  • Experience with MLOps tools (Kubefow, MLflow, Seldon, etc.)
  • Experience with the following technological stack :  Go, GitLab, Docker, Kubernetes, AWS, TensorFlow, Elasticsearch 

What we offer:

  • Fraugster offers the opportunity to work at and grow your career at one of Europe's leading AI technology companies. We work with some of the biggest brands in payments, e-commerce and cybersecurity.
  • Fast track your career by gaining responsibility quickly, and working alongside motivated, collaborative and supportive industry leaders.
  • Creative, diverse, fun and focused teams committed to learning and problem-solving through collaboration.
  • A safe and open space to follow your individual growth objectives & openly share mistakes and “lessons learned” with each other.
  • A Learning & Development culture that includes educational budget, educational leave and access to free German classes catering to 4 skill levels (A1, A2, B1, B2).
  • Flexible working hours, remote-work opportunities as well as full support for family/private situations through flexible parental & compassionate leave policies.
  • Competitive remuneration including virtual company shares.
  • Regular feedback workshops and monthly events on topics related to Diversity & Belonging.
  • A standing invitation to initiate and participate in activities to shape and push the boundaries of our workplace culture.

About Fraugster:

Fraugster’s purpose is to reduce the spiralling levels of online fraud, estimated to reach $1 Trillion by the end of 2021. Our mission is to protect companies selling online, and intelligently manage the impacts of fraud on their business and their customers. We do this by using advanced AI to spot patterns of fraudulent behaviour, and stop them.

The combination of our expertise and technology makes us one of the most accurate solutions in the market, and our ambition is to set a new standard of online trust, globally. Our customers are some of the world's largest payment companies and most renowned brands in e-commerce, and we have the backing of Europe's premier tech funds (Speedinvest, CommerzVentures, Munich Re Ventures and Earlybird).  

We know that diverse teams are strong teams, and welcome those with all identities, backgrounds, and experiences. See our mention in Talent’s post on Equity, Diversity and Inclusion here. And the importance we place on employee mental health and wellbeing here.

Upon clicking "Send", you will submit your contact details and CV. For more information on how Fraugster processes your information, click here. Processing is based on your consent and you may withdraw it at any time.