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Machine Learning Engineer bijdragen aan betere zorg

CareerValue B.V. - Amsterdam
De Functie: Als Machine Learning Engineer ga je hier bezig met verschillende Machine Learning Modellen, AI en Data waarbij je detecteert en maak je met de nieuwste technologieen geweldige producten die de zorgverlening
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Machine Learning Engineer

Next Ventures - Amsterdam - 11-02-2025 Naar vacature  

Business Intelligence Jobs and Data Recruitment
Location
Long Island City, United States
Salary
NON 240,000
Type
Permanent

🚀 Machine Learning Engineer - Ad Tech 🚀

 
A Performance Marketing Company are currently looking to hire a talented and passionate Machine Learning Engineer to join their growing team. In this role, you will play a crucial part in developing and deploying cutting-edge machine learning models to optimize ad performance and improve client outcomes.

 

Responsibilities

  • Develop, train, and deploy predictive ML models for key metrics like Ad Score and Ad Account Health.
  • Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
  • Collaborate with data engineers to design and implement robust feature engineering pipelines.
  • Rigorously evaluate model performance, track key metrics, and continuously improve model accuracy.
  • Work closely with product, engineering, and data science teams to integrate ML solutions into our products.
  • Stay abreast of the latest advancements in machine learning and explore innovative approaches to problem-solving.
 

Qualifications

  • Master's or Ph.D. in Computer Science, Statistics, or a related field.
  • 2+ years of experience developing and deploying predictive ML models in a production environment.
  • Expertise in machine learning techniques (regression, classification, clustering, deep learning).
  • Proficiency in Python and experience with libraries like TensorFlow, PyTorch, scikit-learn.
  • Strong data manipulation and feature engineering skills.
  • Excellent communication and collaboration skills.
  • Passion for solving complex problems and a strong work ethic.
 

Bonus Points:

  • Experience with ad tech or marketing technology.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Experience with MLOps and CI/CD for ML models.
  • share

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