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NextLink Group

Machine Learning

NextLink Group
Netherlands · Contract · Entry
We are looking for a skilled Machine Learning Engineer to design, develop, and deploy machine learning models and algorithms. The ideal candidate will have experience in building scalable and efficient machine learning systems, a strong understanding of algorithmic principles, and the ability to turn complex data into actionable insights. You will work closely with data scientists, software engineers, and product teams to bring innovative ML solutions to life.

Description:

  • Model Development & Optimization
  • Design and develop machine learning models tailored to banking needs, including credit scoring, fraud detection, customer segmentation, and churn prediction.
  • Optimize model performance for real-time predictions and recommendations.
  • Use advanced techniques like deep learning, NLP, and time-series analysis as required.
  • Data Preparation & Feature Engineering
  • Work with large-scale banking datasets to perform ETL processes using Azure Data Factory and Azure Data bricks.
  • Conduct feature engineering, data cleaning, and transformation to prepare datasets for machine learning.
  • Deployment & Monitoring
  • Deploy ML models on Azure Machine Learning Service and set up monitoring for real-time and batch processing.
  • Manage versioning, scalability, and maintenance of models using Azure DevOps.
  • Collaboration & Stakeholder Engagement
  • Collaborate with data scientists, software engineers, and stakeholders to understand requirements and translate them into ML solutions.
  • Engage with banking teams to align ML models with compliance and regulatory standards.
  • Documentation & Reporting
  • Document model design, assumptions, and results for transparency and reproducibility.
  • Generate reports and present insights to technical and non-technical stakeholders.

Requirements

Education:

Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related fields.

Skills:

  • Strong programming skills in Python and familiarity with ML libraries (e.g., Scikit-Learn, TensorFlow, PY-Torch).
  • Proficiency in SQL and database systems, with knowledge of Azure SQL Database or Azure Cosmos DB.
  • Experience with MLOps, containerization (e.g., Docker), and deployment in Azure.
  • Strong understanding of banking use cases like credit scoring, fraud detection, and risk management.

Certifications:

Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate.

Key Skills

Ranked by relevance

sql etl devops python tensorflow mlops containerization docker ai
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Country Guide

Netherlands

30% Tax Ruling for expats

Posted
Nov 09, 2024
Type
Contract
Level
Entry
Location
Amsterdam
Company
NextLink Group

Industries

Information Services

Categories

Information Technology

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