Sr Machine Learning Engineer

PayPal PayPal · Fintech · Dublin, County Dublin, Ireland · Machine Learning Engineering

This role focuses on designing, developing, and implementing machine learning models and algorithms, working with data scientists and product teams to enhance services with AI/ML solutions. Responsibilities include building scalable ML pipelines, ensuring data quality, and deploying models into production to drive business insights and improve customer experiences.

What you'd actually do

  1. Develop and optimize machine learning models for various applications.
  2. Preprocess and analyze large datasets to extract meaningful insights.
  3. Deploy ML solutions into production environments using appropriate tools and frameworks.
  4. Collaborate with cross-functional teams to integrate ML models into products and services.
  5. Monitor and evaluate the performance of deployed models.

Skills

Required

  • Python
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Spark
  • Hadoop
  • BigQuery
  • SQL
  • explainable AI techniques

Nice to have

  • AWS
  • Azure
  • GCP
  • Computer Vision
  • Graph Mining
  • Natural Language Processing (NLP)
  • Generative AI (GenAI)

What the JD emphasized

  • designing, implementing, and deploying machine learning models
  • developing machine learning models at scale from inception to business impact
  • designing ML pipelines, including model versioning, model deployment, model testing, and monitoring
  • comprehensive understanding of machine learning algorithms and explainable AI techniques
  • expertise in at least one of the following specialized areas is required: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI)

Other signals

  • deploying models into production environments
  • building scalable ML pipelines
  • designing, implementing, and deploying machine learning models
  • developing machine learning models at scale from inception to business impact
  • designing ML pipelines, including model versioning, model deployment, model testing, and monitoring