6 months 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
- Contribute to constructing a system that validates data and machine-learning models
Requirements
- Strong experience in machine learning
- Experience developing and deploying machine-learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation
- Strong analytical and problem-solving skills
- Careful attention to detail
Benefits
- Work remotely from anywhere in the world
- Access to global offices anytime
- 40 paid days off
- Welcoming international professional team
- Cutting-edge hardware and technology
Categories
Data EngineeringML Engineering
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.