Principal Data Scientist and Vector Embeddings Expert

3 weeks ago


Budapest, Budapest, Hungary Randstad Hungary Kft Full time
Company Overview

Randstad Hungary Kft is a leading technology start-up company that specializes in enhancing data understanding and utilization through innovative vector embeddings. Our team is passionate about leveraging cutting-edge technologies to drive business growth and stay ahead of the competition.

Job Description

We are seeking a talented Senior Machine Learning Engineer to join our team as a Principal Data Scientist and Vector Embeddings Expert. As a key member of our team, you will play a crucial role in the creation, maintenance, and improvement of vectorizers that embed various types of data. You will work closely with Senior Python Developers, Data Scientists, and Researchers to develop a software product that achieves our vision while staying true to pragmatic engineering decisions.

Responsibilities

- Develop highly scalable machine learning solutions that expose a simplified interface with reasonable defaults to function well with most use-cases.
- Work on the separation of the execution plan from the online execution and the implementation of an interpreter to translate elements of our library to scalable Spark code.

Requirements

- Proficient in 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).
- Knowledge of how vector-based representations work and the potential in creating a computation layer on top of vector embeddings.
- Ability to write production-ready scalable applications in Spark and take a solution from idea to deployment, adding value at each step of the process.
- Experience in big data and the ability to be pragmatic with an eye towards leveraging emerging technologies as they grow.

Benefits

- Competitive salary: €80,000 - €110,000 per year, depending on experience.
- Generous equity to directly participate in the success of the company.
- Hybrid work arrangement with flexible working hours and remote work options.
- Great team-building events and a dynamic company culture.

Location

Budapest, Hungary
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