+44 (0)207 549 4040 Speak to a consultant now

Apply for this job

Attach a resume file. Accepted file types are DOC, DOCX, PDF, HTML, and TXT.

We are uploading your application. It may take a few moments to read your resume. Please wait!

Ref: #47426

Principal Engineer- Visualisation & Machine Learning

  • Practice Data

  • Technologies Business Intelligence Jobs and Data Recruitment

  • Location Laakdal, Belgium

Summary Description:Machine Learning & Visualisation Architect
Role Type: Contract
Start Date: Immediate/1 month/other: 6-12 months
Day Rate+expenses/Package: Flexible 
Location/Language: Netherlands
Requirements Description: —
Create and design software tooling/methodologies for efficient process automation powered by ML in our data analytics landscape • Coordinate and implement data visualization best practices to expose analytical insights in an intuitive actionable Manner • Adopt data management patterns to implement microservice architectures • Work with business and technical stakeholders across functions to identify, analyze, sell, and prove opportunities to apply ML to existing and new use-cases. • Support the ED&A teams and lead by example on how to create production ready ML models using all the best practices and the MLOps methodology. • Design and prove optimal data pipeline architectures to support ML. • Design, manage and support the preparation of large, complex data sets in line with functional and technical requirements. • Understand and implement practices to comply with GDPR and other Nike data privacy requirements. • Provide hands-on leadership, coaching, mentoring, and data engineering best practices with squads. • Work collaboratively with internal, Geo and external partners. • Conceptual intelligence and creativity of a Solution Architect
Essential Skills/Experience Description: —
Proven track-record of bringing data products into commercial production environments • Experience in partnering with business stakeholders to shape process optimization use cases powered by ML • Real world experience in applying MLOps; operating ML models in production • Ability to write optimized SQL queries • Solid experience building and optimizing big data pipelines, architectures and data sets. • Technologies: AWS, Hive, Airflow, Jupyter Notebooks, SageMaker, REST API's • Technical stack: PySpark, JSON/OAS,

Team Contact: shane.coombes@next-ventures.com

Apply now