27 Jul
Data Engineer (MLOps)
Vacancy expired!
- Focus on the deployment, pipelines, and productionalization of Data Science model.
- Responsible for update, test, and validate deployments from a centralized hub/system, no matter what types of models they are running.
- Proactively monitors and manages the lifecycle of machine learning models.
- Work directly with ML engineers and customers to enable successful deployments.
- Prototype and demonstrate solutions for clients in customer environments.
- Worked on different data formats such as JSON, XML and performed machine learning algorithms in Python.
- Developed and implemented R and Shiny application which showcases machine learning for business forecasting.
- Developed predictive models using Python & R to predict customers churn and classification of customers.
- Implemented Big Data Analytics and Advanced Data Science techniques to identify trends, patterns, and discrepancies on petabytes of data by using Azure Databricks, Hive, Hadoop, Python, PySpark, Spark SQL, MapReduce, and Azure Machine Learning.
- Proficient in Machine Learning techniques (Decision Trees, Linear/Logistic Regressors) and Statistical Modeling
Vacancy expired!