Machine Learning Engineer Quant Specialist
2 days ago
Company Overview
We are a leading market player in automating financial markets since our inception. Our goal is to develop cutting-edge machine learning solutions that drive real-time trading decisions.
About the Role
We are seeking an experienced Machine Learning Engineer to join our team. As a key member, you will design and optimize infrastructure to support distributed model training and experiment tracking.
Your Responsibilities
- Building and automating robust data pipelines for dataset generation and feature engineering, while enabling data version control.
- Developing software for rapid experimentation and deployment, including automated testing, continuous integration, and delivery.
- Implementing best practices in software development, ensuring maintainability, scalability, and efficiency of ML systems through automated testing and real-time monitoring.
- Improving model deployment workflows, focusing on minimizing latency, ensuring reproducibility, and enabling fast iterations.
Requirements
- Fluency with computer science fundamentals – data structures and algorithms.
- Experience working with out-of-core datasets and training distributed models.
- Experience with Python, in particular data preprocessing, ETL pipelines, and distributed systems.
- Familiarity with strongly typed languages like C# or C/C++ or Rust.
- Experience working with the full Machine Learning stack from data generation through model training and real-life validation and monitoring.
- Experience with distributed computing frameworks (for example Spark, Ray or Dask).
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