Medior Data Scientist / Senior Machine Learning Engineer

LEVY PROFESSIONALS
Amsterdam, Netherlands
3 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Amsterdam, Netherlands

Tech stack

Azure
Continuous Integration
DevOps
Python
Machine Learning
PySpark
Machine Learning Operations
Data Pipelines
Databricks

Job description

  • Develop, maintain, and optimize machine learning models and data pipelines
  • Refactor existing code, improve model performance, and streamline pipelines
  • Combine and analyze complex datasets to create high-quality model inputs
  • Write production-ready code to deploy and operationalize ML models
  • Collaborate with engineers and stakeholders in a DevOps-oriented setup

Requirements

Do you have experience in Python?, You are a hands-on data professional who enjoys taking machine learning solutions from idea to production. You thrive in collaborative, fast-paced environments, like diving deep into data, and are motivated by building scalable, reliable, and impactful ML-driven products across the full lifecycle., * 4+ years of experience as a Data Scientist or 6+ years as a Machine Learning Engineer

  • Strong expertise in machine learning and statistical modeling, including tree-based and clustering models
  • Hands-on experience with production-ready coding in Python and PySpark
  • Experience with MLOps/DevOps, model deployment, monitoring, and pipeline optimization
  • Familiarity with Databricks, cloud platforms (preferably Azure), and CI/CD practices

About the company

Levy is an international IT staffing organization providing recruitment and project resourcing services to companies ranging from start-ups to well established global players across the UK, Holland, Germany, Belgium, and the USA. By partnering with our clients, we provide tailored interim and permanent IT staffing solutions to help them deliver their initiatives across applications and infrastructure, touching areas such as Digital, Data, Cloud, Cybersecurity and ERP.

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