Senior ML Engineer (offline)
О проектах:
https://docs.google.com/document/d/1hMrgm9-2W0_lEwTx1hMNhDz4xwExb4U3SxvIVdxWKkc/edit
Требование:
● Know Python, Docker, Cloud engineering, SQL, Basic ML algorithms.
● Comfortable with cloud-based platforms such as Azure Data Factory and Azure ML Pipeline
● Have used version control applications like Gitlab
Будет плюсом:
● Python ML frameworks: Pytorch, Jupyter Notebooks, Pandas, scikit-learn, Numpy
● Have used PySpark or Azure Databricks Notebooks
● Understand Continuous integration, testing, deployment & release methodologies"
Обязанности:
● Manage the whole machine learning lifecycle
● Create automated ETL pipelines for training datasets
● Create a ML pipeline to train, evaluate and deploy models
● Collaborate with engineering and product development teams to productionize the developed AI model
Required Skills/Experience
● Know Python, Docker, Cloud engineering, SQL, Basic ML algorithms.
● Comfortable with cloud-based platforms such as Azure Data Factory and Azure ML Pipeline
● Have used version control applications like Gitlab
Компания предоставляет:
● Competitive compensation and benefits
● Flexible working schedule
● Remote work or work in one of our development offices
● Covered rest period (20 business days+ 5 days-off)
● Professional growth: a variety of projects, regular technical events, mentorship.
● Free English classes (we have an amazing English teaching team)
● Speaking-club with a native English speaker
● Truly friendly atmosphere and teambuilding
https://docs.google.com/document/d/1hMrgm9-2W0_lEwTx1hMNhDz4xwExb4U3SxvIVdxWKkc/edit
Требование:
● Know Python, Docker, Cloud engineering, SQL, Basic ML algorithms.
● Comfortable with cloud-based platforms such as Azure Data Factory and Azure ML Pipeline
● Have used version control applications like Gitlab
Будет плюсом:
● Python ML frameworks: Pytorch, Jupyter Notebooks, Pandas, scikit-learn, Numpy
● Have used PySpark or Azure Databricks Notebooks
● Understand Continuous integration, testing, deployment & release methodologies"
Обязанности:
● Manage the whole machine learning lifecycle
● Create automated ETL pipelines for training datasets
● Create a ML pipeline to train, evaluate and deploy models
● Collaborate with engineering and product development teams to productionize the developed AI model
Required Skills/Experience
● Know Python, Docker, Cloud engineering, SQL, Basic ML algorithms.
● Comfortable with cloud-based platforms such as Azure Data Factory and Azure ML Pipeline
● Have used version control applications like Gitlab
Компания предоставляет:
● Competitive compensation and benefits
● Flexible working schedule
● Remote work or work in one of our development offices
● Covered rest period (20 business days+ 5 days-off)
● Professional growth: a variety of projects, regular technical events, mentorship.
● Free English classes (we have an amazing English teaching team)
● Speaking-club with a native English speaker
● Truly friendly atmosphere and teambuilding
The job ad is no longer active
Job unpublished on
2 August 2021
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