QA Machine Learning Engineer in Moventi

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We are a digital transformation and innovation consulting firm that develops solutions for corporate clients and high impact ventures. To date we have developed more than 200 digital projects, our expertise ranges from planning and development of digital products to consulting implementation and dissemination in digital media.
At Moventi we are looking for you, we know that our human talent is a key point to achieve success, so we are looking for people with DNA of passion and ingenuity to assume the position of Fullstack Developer

Funciones del cargo

The Data Quality Engineer position at Rue requires exceptional QA skills along with a solid experience in designing and implementing QA best practices.
This QA position is not similar to what the regular QA does. This is not a typical QA role, it is not about doing QA on developers work, features.
The primary goal is to improve/design/implement advanced QA practices and checks on existing and new Machine Learning models and Data Science projects. In order to succeed in this role, the candidate must poses Data Science and Machine Learning knowledge and have a solid experience in writing data quality tests for Machine Learning models and algorithms - this is the main requirement.
The candidate must be able to design these frameworks and mind the costs, because such solutions can consume a lot of credits/dollars

Requerimientos del cargo

We are interested in automated integration testing & automated data quality testing. So the candidate must be able to design these frameworks and mind the costs, because such solutions can consume a lot of credits/dollars. This is not a trivial task
That includes:
- Experience in designing data quality checks for Machine Learning models
- Advanced Python skills, including writing unit tests, working with python Notebooks in Databricks
- Understanding of AWS stack
- Experience in running and analyzing Airflow DAGs
- Experience in API testing
- In-depth knowledge of integration testing techniques and concepts
- Documentation
Tools and technologies:
- Postman
- AWS
- Airflow
- Databricks
- Python (including Deeque)
- Scala
- Tealium
- Test Rail
- Snowflake
- DynamoDB

Condiciones

Work from Anywhere

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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