Note: The job is a remote job and is open to candidates in USA. Eqvilent is seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The role involves developing data pipelines, conducting exploratory data analysis, and evaluating machine learning models.
Responsibilities
- The task involves the development and upkeep of data pipelines for training and evaluating models
- Exploratory data analysis will be conducted to enhance model accuracy and performance
- Experiments and evaluations of machine learning models will be carried out to identify and address any issues
Skills
- 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
Benefits
- Work remotely from anywhere in the world
- Access any of our global offices anytime
- 40 paid days off
- Competitive salary and performance-based bonuses
Company Overview