ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.
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
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
Benefits
Great challenges with many opportunities to prove yourself
A welcoming group of highly qualified international professionals
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