Machine Learning Platform Engineer

Machine Learning Platform Engineer

Whitehall Resources are currently looking for a Machine Learning Platform Engineer onsite in Sweden for an initial 8 month contract.

Job Description:

Our client are seeking a Machine Learning Platform Engineer to join our platform development team.

The ideal candidate has a strong understanding of designing and building ML platforms in a multi-application and multi-model setup with focus on automation, traceability, monitoring, scalability, and reusability at both the model and data level. Preferably, the candidate has an interest to understand concepts of energy systems and potential business value provided by the platform.

Key Responsibilities:

• Support in designing and building an ML platform that delivers both multiple applications as well as multiple models per application, with a focus on automation, traceability, monitoring, scalability, and reusability
• Support data scientists to reduce the time from idea and exploration to testing by building a collaborative platform
• Managing and serving data in a validated and usable format from IoT sources with irregularly sampled data
• Take initiatives and work together with colleagues, Product Owners, and Architects to find the best solutions for the platform.

Qualifications:

• Proven experience in designing and building ML platforms
• Fluent in Python and experience in pyspark
• Experience with Azure services such as Azure ML, Azure blob storage, Event hubs, Azure Data Factory, Azure DevOps, Azure Data Explorer, Azure Databricks, Kusto Query Language
• Understanding of applied MLOps and the complexity of managing data from IoT sources
• Excellent collaboration skills to support data scientists and reduce the time from idea and exploration to PoC/MVP
• Knowledge and experience of concepts such as lambda architecture, medallion architecture, feature stores, event sampled data, MLOps, CRISP-DM, edge compute, deploy code vs deploy model, CI/CD, common data platform patterns