Machine Learning Engineer | Data Engineer
Proven experience as MLE/DE
BSc in Computer Science or a similar field, with a very solid Spark and Python programming experience; Scala is a plus - for creating data pipelines that will fuel machine learning models in an Azure Databricks based environment
Proven experience with the engineering aspects of popular machine learning practices, libraries, and platforms - such as the ones that allow serving and productionasing machine learning models
Acquaintance with CD4ML and MLOps, software design patterns and RESTful APIs
Main tech stack: Databricks, Spark, Airflow, MLflow, MLeap, Kafka, Delta Lake and Azure ADLS (Parquet, Avro), Azure Devops.
Proficient in code versioning tools: Github
Strong English communicator.
Comfortable with an Agile methologies (Scrum, Kanban) using Jira Agile
OUT OF SCOPE: Front-end development. Data Science, in the way that he will not research, apply, create and train statistical / math / machine learning models. - Apply advanced Machine Learning (e.g. NLP, CV, Mathematical Optimization).