Machine Learning Engineer

at  Wolters Kluwer

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.

Please refer the Job description for details