ML Engineer at Eqvilent

Job 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. WHAT YOU’LL BE DOING: 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 WHAT WE LOOK FOR IN YOU: 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 WHY SHOULD YOU JOIN OUR TEAM? 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

Requirements

Must-haves

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
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
WHY SHOULD YOU JOIN OUR TEAM?
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learning

Platform: greenhouse
Effort: quick