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Finom

Machine Learning Engineer

RemoteFull-timeSenior🇺 EuropeDevelopment

We are seeking a highly skilled Engineer to join our dynamic team. The ideal candidate will have strong experience with Python, LangChain, and working with advanced language models including OpenAI, LLMs, and Mistral. This role involves designing, implementing and maintaining scalable systems that support our cutting-edge financial products.

What you will be doing

  • Develop, test, and maintain robust systems using Python.
  • Collaborate with front-end developers, product managers, and other stakeholders to deliver high-quality software solutions.
  • Integrate advanced language models (OpenAI, LLaMA, Mistral) into our platform to enhance user experience and functionality.
  • Utilize LangChain for building and managing complex data processing pipelines.
  • Ensure the performance, quality, and responsiveness of applications.
  • Identify and troubleshoot application bottlenecks and bugs.
  • Stay updated with the latest industry trends and technologies to bring innovative ideas to the team.

Who you are

  • Proven experience with Python.
  • Strong knowledge of LangChain and its applications.
  • Hands-on experience with OpenAI, LLaMA, and Mistral models.
  • Familiarity with RESTful APIs and web services.
  • Proficiency in working with databases and data storage solutions.
  • Solid understanding of software development principles, design patterns, and best practices.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work effectively in a remote, distributed team environment.
  • Strong communication skills and the ability to collaborate with cross-functional teams.

If you are passionate about technology and excited about contributing to the fintech revolution, we would love to hear from you. Join us at Finom and be a part of building the future of banking for SMEs and freelancers!

Our process for this role:

  • HR Interview
  • CV review by hiring manager
  • Technical Interview with Hiring Manager (1 hour)
  • Technical Interview with Hiring Manager (1 hour) alternative: home test assignment
  • Final Interview (30-45 min) with Product Leader

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