Machine Learning Engineer | Data Engineer

Machine Learning Engineer | Data Engineer

Qualifications

• 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).

Additional Information

• Necessary to live in Portugal.