Junior MLOps Engineer

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