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Junior MLOps Engineer

livechatinc · 30 days ago
Negotiable
Full-time
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Join us and get a chance to work with data from over 38,000 businesses using the LiveChat app to communicate with customers.You will be working in the Data team in shaping our data-oriented future. Our main focus is to invent and build our AI-oriented data infrastructure.

Role & responsibilities

  • With MLOps Engineer Patryk, you will tackle MLOps challenges with productionalizing ML models so that product teams can use them;
  • You will take charge of monitoring thousands of model performances in real-world scenarios, ensuring optimal functionality;
  • Your tasks will also include supporting the Data team in maintaining and expanding existing services;
  • We still have quite a few projects on our roadmap, and some require proper research and investigation of the topic, which will also be on your side;
  • You will thrive in our dynamic environment, lending your expertise to diverse projects and experiments.

Our ideal candidate:

  • Tech Skills:

  • -You have at least 2 years of IT experience, ideally at the crossroads of Machine Learning and Data Engineering;
    -You are proficient in Python with commercial experience under your belt;
    -You have already worked with Docker and Kubernetes;
    -You have worked with Linux before and know it well;
    -You know basic Machine Learning libraries like PyTorch;
    -You are excited about cloud technologies and eager to delve deeper into them;
    -You are passionate about MLOps and DevOps – it's not just a job; it's your passion!

  • People Skills:

  • -You are not afraid to ask questions and present innovative solutions;
    -Proactive by nature, you take the lead and drive initiatives forward;
    -Ownership mentality – you see projects through to completion with diligence and dedication;
    -Effective communication is your forte – you can translate technical jargon into clear, understandable language for all stakeholders;
    -Complicated projects and long research do not discourage you in your daily work

Last updated on Mar 22, 2024

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