ML Engineer

Eqvilent
Summary
Join our team as an ML Engineer and contribute to building a system for validating data and ML models. You will be responsible for developing and maintaining data pipelines, conducting exploratory data analysis to improve model accuracy, and experimenting with machine learning models to identify and resolve issues. The ideal candidate possesses strong machine learning experience, expertise in developing and deploying ML pipelines, and excellent analytical and problem-solving skills. We offer a stimulating work environment with opportunities for growth, a collaborative international team, access to cutting-edge technology, and flexible work arrangements including remote options. Competitive salary, performance-based bonuses, and 40 paid days off are also included.
Requirements
- Strong experience in machine learning
- Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation
- Strong analytical and problem-solving skills, as well as attention to details
Responsibilities
- Develop and upkeep data pipelines for training and evaluating models
- Conduct exploratory data analysis to enhance model accuracy and performance
- Carry out experiments and evaluations of machine learning models to identify and address any issues
Benefits
- Great challenges with many opportunities to prove yourself
- A welcoming group of highly qualified international professionals
- Cutting-edge hardware and technology
- You can work in comfortable Dubai and London offices or remotely anywhere in the world
- 40 paid days off
- Competitive salary and performance-based bonuses