Machine Learning Engineer
PRT - Porto
- Remote-first
- Website
- @wolters_kluwer 𝕏
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Wolters Kluwer
Wolters Kluwer is a global provider of professional information, software solutions, and services.We are looking for a passionate Machine Learning Engineer to join our team. The ideal candidate is an experienced professional who plans, design, develop and maintain high-performing data pipelines, machine learning services, and cloud infrastructure. You will work close with Data Engineers and Data Scientists to promote the best experience for data analytics, data science explorations, development of data-based features and ensure that ML projects run smoothly.
Qualifications
Degree in Computer Engineering, IT or similar field
Minimum of 3 years of working experience as a Backend and/or Machine Learning Eng.
Ability to write robust code in Python or similar
Experience on code and data quality and tests
Experience on the developing e2e pipelines
Experience on developing APIs for machine learning models
Experience with SQL/NoSQL
Experience with data processors like Spark
Experience with data frameworks like Airflow
Experience with machine learning frameworks like MLFlow, KubeFlow, among others
Experience with AWS solutions, like Sagemaker
Excellent communication and decision-making skills
Self-managed and motivated
Motivation to work in an Agile Scrum team and to push the team towards the sprint goal
Strong opinion and continuous evaluation of new technologies and software products
Fluent in English.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs AWS Data Analytics Data pipelines Data quality Engineering Kubeflow Machine Learning MLFlow ML models NoSQL Pipelines Python SageMaker Scrum Spark SQL
Perks/benefits: Career development
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