#удаленка #работа #вакансия #ml #middle #senior #remote
Вакансия: MLOps Engineer
Компания: Inca Digital
ЗП: 4 000 - 7 000 USD
Формат работы: удаленка, полный рабочий день или частичная занятость
An American FinTech company is looking for an MLOps Engineer to work on ML models deployment and overall infrastructure enhancements. This can be a part-time or a full-time position with a flexible schedule and the possibility to assume more responsibilities.
Duties
Set up tracking and versioning for model training runs
Deploy models to production infrastructure
Set up monitoring on deployment
Closely collaborate with ML engineers and Data Analysts on models re-training/optimization
Continuously research and stay updated on the latest trends and advancements in machine learning
Tools
GitHub, AWS, Docker, Tensorflow, Pytorch, Kafka/alternatives, Terraform/Helm/alternatives
General Requirements
- Fluent English. We are an international team and most of the business is conducted in English.
- Independence. There will be no marching orders. You are expected to organize your day, get the work done, and speak up when there's a problem.
Conditions
- You'll be a part of a small team of computer engineers, security experts, scientists, mathematicians, and finance experts from around the world.
- We follow Hygge work culture: https://hygge.work/
- You will be hired as a contractor with a choice of how and when you want to get paid.
- We have a clear and open business process on GitHub. You'll see the result of your work with zero red tape slowing things down.
- We don't look over each other's shoulders and expect you to take the initiative, find things to do, and get them done.
- We don't discriminate based on race, nationality, age, sex, sexual orientation, physical abilities, or political views. We expect the same from you.
How to apply
We created a challenge task to allow for a fast but thorough selection process: https://inca.digital/nlp-challenge
Contacts: [email protected], @hyggewerk
Вакансия: MLOps Engineer
Компания: Inca Digital
ЗП: 4 000 - 7 000 USD
Формат работы: удаленка, полный рабочий день или частичная занятость
An American FinTech company is looking for an MLOps Engineer to work on ML models deployment and overall infrastructure enhancements. This can be a part-time or a full-time position with a flexible schedule and the possibility to assume more responsibilities.
Duties
Set up tracking and versioning for model training runs
Deploy models to production infrastructure
Set up monitoring on deployment
Closely collaborate with ML engineers and Data Analysts on models re-training/optimization
Continuously research and stay updated on the latest trends and advancements in machine learning
Tools
GitHub, AWS, Docker, Tensorflow, Pytorch, Kafka/alternatives, Terraform/Helm/alternatives
General Requirements
- Fluent English. We are an international team and most of the business is conducted in English.
- Independence. There will be no marching orders. You are expected to organize your day, get the work done, and speak up when there's a problem.
Conditions
- You'll be a part of a small team of computer engineers, security experts, scientists, mathematicians, and finance experts from around the world.
- We follow Hygge work culture: https://hygge.work/
- You will be hired as a contractor with a choice of how and when you want to get paid.
- We have a clear and open business process on GitHub. You'll see the result of your work with zero red tape slowing things down.
- We don't look over each other's shoulders and expect you to take the initiative, find things to do, and get them done.
- We don't discriminate based on race, nationality, age, sex, sexual orientation, physical abilities, or political views. We expect the same from you.
How to apply
We created a challenge task to allow for a fast but thorough selection process: https://inca.digital/nlp-challenge
Contacts: [email protected], @hyggewerk