ML Engineer
Job Summary
Job Description
The ML Engineer will be responsible for building and maintaining a system to validate data and machine learning models. The role involves developing and maintaining data pipelines for training and evaluating models. This includes exploratory data analysis to improve model accuracy and performance, as well as experiments and evaluations to identify and address any issues. The ideal candidate should be intelligent, thoughtful, and detail-oriented.
Must have:
- Strong experience in machine learning.
- Experience in developing and deploying ML pipelines.
Perks:
- Great challenges with opportunities to prove yourself
- Welcoming group of international professionals
- Cutting-edge hardware and technology
- Work remotely from anywhere in the world
- Access any global offices anytime
- 40 paid days off
- Competitive salary and performance-based bonuses
1 skill required
Job Details
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
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