Eqvilent

Ml engineer

In short

This senior ML Engineer role focuses on building a system to validate data and ML models, including developing and maintaining data pipelines, conducting exploratory data analysis, and running experiments to evaluate models. The company is remote-first with international offices and a global team. It requires strong, hands-on experience in machine learning pipelines, data preprocessing, feature engineering, and model training/evaluation, with attention to detail and analytical rigor.

Description
We are seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.
Tasks
•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
Conditions
•Great challenges with many opportunities to prove yourself
•A welcoming group of highly qualified international professionals
•Cutting-edge hardware and technology
•Work remotely from anywhere in the world
•Access any of our global offices anytime
•40 paid days off
•Competitive salary and performance-based bonuses

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