Senior Data Scientist
4 weeks ago
Vector Computer
- You will play a key role in shaping the future of our product by contributing to the development of vectorizers that embed various types of data. You will act as a liaison between Senior Python Developers, Data Scientists, and Researchers to create a software product that aligns with our vision while maintaining pragmatic engineering decisions.
ML Pipeline
- You will design and implement highly scalable machine learning solutions that expose a simplified interface with reasonable defaults to function well with most use cases.
Big Data
- You will work on separating the execution plan from the online execution and implementing an interpreter to translate elements of our Partner's library to scalable Spark code.
Our Partner is a cutting-edge technology start-up company working with large UK & US based platforms. They aim to enhance the understanding and utilization of data by leveraging 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 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).
- You have a deep understanding of vector-based representations and 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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