Machine Learning Solutions Engineer

1 tydzień temu

Kraków, Lesser Poland Zendesk Pełny etat

About the Company

Zendesk is a leading customer service software company that powers billions of conversations with brands worldwide.

We believe in offering our people a fulfilling and inclusive experience, enabling us to purposefully come together in person, at one of our many offices around the world, to connect, collaborate, and learn, while also giving our people the flexibility to work remotely for part of the week.

As a Senior Machine Learning Engineer, you will play a key role in helping us achieve our mission to deliver exceptional customer experiences at scale and in all languages.

Your Responsibilities

You will be responsible for:

  • Maintaining and developing our core AI technologies that support millions of monthly conversations using Python.
  • Collaborating with cross-functional teams, including Backend Engineers, AI Researchers, Platform Engineers, and Frontend Engineers.
  • Ensuring our systems are running correctly and efficiently.
  • Using industry-proven tools such as git, and practices such as CI/CD in an agile setup.

What You Will Need

To succeed in this role, you will need:

  • A quantitative or technical degree, e.g., Computer Science, Machine Learning, etc.
  • Experience in various LLM frameworks (i.e., Langchain, LangGraph, Instructor).
  • 2+ years of relevant experience in building large-scale machine learning or deep learning models in Python, Tensorflow (or other deep learning frameworks).
  • 4+ years of experience writing robust code by using OOP principles and unit tests for live production systems and working with large datasets.
  • A great understanding of microservices architecture and experience in various Python web frameworks such as Tornado, FastAPI, etc.
  • Experience in using container orchestration systems (i.e., Kubernetes) and machine learning workflow tools (i.e., Kubeflow).
  • Experience in using NoSQL databases and search engines i.e., MongoDB, Elasticsearch.
  • Familiarity with Google Cloud tools and the services it offers.
  • The ability to communicate effectively and work collaboratively as part of a team.

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