Remote ML Engineer
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Description:
- Develop ML solutions to support ML/AI projects using big analytics toolsets in a CI/CD environment
- Utilize analytics toolsets such as DS tools, Spark, Databricks, Python, and other technologies from Microsoft Azure
- Automate the end-to-end cycle with Azure Machine Learning Services and Pipelines
Requirements:
- Hands-on experience and strong knowledge of building machine learning models (supervised and unsupervised)
- Proficiency in statistical programming languages like Python and database query languages like SQL
- Experience with Cloud (Azure), specifically Databricks and ADF
- Model deployment experience
- Familiarity with version control systems like GitHub, CI/CD tools, MLOps/DevOps, and deploying ML models
- Knowledge of MLFlow, Kubeflow, etc.
Benefits:
- Opportunity to work on cutting-edge ML/AI projects
- Exposure to a variety of analytics toolsets and technologies from Microsoft Azure
- Hands-on experience with automating ML processes using Azure Machine Learning Services and Pipelines
- Potential for professional growth by working with advanced ML technologies and tools
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