ML Engineer

Eqvilent is seeking a Machine Learning Engineer to join our team in developing a robust system for validating data and machine learning models. This role offers the opportunity to work remotely with a diverse group of international professionals dedicated to advancing machine learning technologies.

As a Machine Learning Engineer at Eqvilent, you will be responsible for developing and maintaining data pipelines essential for training and evaluating models. Your day-to-day tasks will include conducting exploratory data analysis to enhance model accuracy and performance, as well as performing experiments and evaluations to identify and address any issues within our machine learning models.

The ideal candidate will possess strong experience in machine learning, with a proven track record in developing and deploying machine learning pipelines and workflows. This includes expertise in data preprocessing, feature engineering, model training, and evaluation. Additionally, strong analytical and problem-solving skills, coupled with meticulous attention to detail, are essential for success in this role.

Eqvilent offers a range of benefits, including the flexibility to work remotely from anywhere in the world, access to our global offices, 40 paid days off, and competitive salary packages with performance-based bonuses. We provide cutting-edge hardware and technology to support your work, ensuring you have the tools needed to excel.

Joining Eqvilent means becoming part of a welcoming and highly qualified international team. We present great challenges with numerous opportunities to prove yourself, fostering a corporate culture that values innovation and continuous learning. If you're looking to advance your career in machine learning within a supportive and dynamic environment, Eqvilent is the place for you.