14 hours ago
Remote, WorldwideMid Level
Responsibilities
- Develop and maintain data pipelines for training and evaluating machine learning models.
- Conduct exploratory data analysis to improve model accuracy and performance.
- Run machine learning experiments and evaluations to identify and address issues.
- Develop and deploy machine learning pipelines and workflows involving data preprocessing, feature engineering, model training, and evaluation.
Requirements
- Strong experience in machine learning.
- Experience developing and deploying machine learning pipelines and workflows.
- Experience with data preprocessing, feature engineering, model training, and model evaluation.
- Strong analytical and problem-solving skills with close attention to detail.
Benefits
- Work remotely from anywhere in the world.
- Access any of the company’s global offices at any time.
- 40 paid days off.
- Competitive salary and performance-based bonuses.
- Work with an international team of highly qualified professionals.
Categories
About Eqvilent
Eqvilent is a proprietary quantitative trading firm that provides liquidity across global financial markets. It designs and runs high-speed trading systems that apply deep learning, FPGA acceleration, and signal processing to price and execute trades, earning revenue from market making and other proprietary trading strategies. Founded in 2020 and headquartered in Dubai, the privately held company operates across multiple jurisdictions and maintains an international team.
