Senior Machine Learning Engineer

4 months ago

Budapest, Hungary Randstad Hungary Kft Full time

Vector Computer

  • You will actively participate in conversations about the future of the product concerning the creation, maintenance and improvement of vectorizers that embed varying type of data. You will act as a bridge between Senior Python Developers, Data Scientists and Researchers in creating a software product that achieves the vision while staying true to pragmatic engineering decisions.

ML Pipeline

  • You will propose and execute on turning product ideas to highly scalable machine learning solutions that expose a simplified interface having reasonable defaults to function well with most use-cases.

Big Data

  • You will work on the separation of the execution plan from the online execution and the implementation of an interpreter to translate elements of our Partner's library to scalable Spark code.

Our Partner is an innovative technology start-up company working with large UK & US based platforms. They are dedicated to enhancing the understanding and utilization of data, leverage vector embeddings to provide fresh perspectives for data analysis, enabling data professionals to work more efficiently and effectively in the long run. Their goal is to extract more value from data and see it from a new perspective.

  • You are proficient with Python and tools connected to the data ecosystem (Pytorch, Tensorflow, LLMs, kafka, mlflow, airflow, keras, llm, openai, generative ai, weights and biases, convolutional networks, neural networks, gpt, streaming)
  • You know how vector based representations work and you see the potential in creating a computation layer on top of vector embeddings.
  • You write production ready scalable applications in Spark and are not afraid to take a solution from idea to deployment adding value at each step of the process.
  • Your experience in big data allows you to be pragmatic with an eye towards leveraging emerging technologies as they grow.

  • An innovative and agile company culture
  • Opportunity to use cutting-edge technologies and take part in the development of innovative AI tools
  • Competitive salary and generous equity to directly participate in the success
  • Hybrid work
  • Great team building events

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