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PayPal Sr Machine Learning Engineer 
Singapore, Singapore 
662840975

Yesterday

שיתוף

התחבר/י כדי להגיש מועמדות

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

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

Minimum Qualifications:

  • Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
  • Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
  • Several years of experience in designing, implementing, and deploying machine learning models.

Preferred Qualification:

  • MSc/PhD or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree in engineering, science,statisticsor mathematics witha strongtechnical background in machine learning.

  • Hands-on experience with Python or Java, along with relevant technologies such as Spark, Hadoop, Big-Query, SQL, isrequired

  • possessa comprehensive understanding of machine learning algorithms and explainable AI techniques. Additionally,expertisein at least one of the following specialized areas isrequired: Computer Vision, Graph Mining, Natural Language Processing (NLP), or Generative AI (GenAI

  • Experience with Cloud frameworks such asGCP,AWS is preferred.

  • Experience withdeveloping machine learning modelsat scale frominceptionto business impact

  • Experience in designing ML pipelines, including model versioning, model deployment, model testing, and monitoring

  • xperience inmentoringand supporting junior data scientists or engineers

  • Experience working in a multi-cultural and multi-location organization – an advantage

  • , outstanding communication skills


Good to Have:

  • withapplying LLMs, prompt design, and fine-tuning methods

  • withdeveloping Gen AIapplications/servicesfor sophisticated business use cases andlarge amountsof unstructured data.

  • Knowledge of Payments industry, Compliance (AML, BRM, Sanctions, KYC) domain.

  • Publications in prominent journals or conferences in the field of AI or successful AI/ML-related patent applications

Our Benefits:

Any general requests for consideration of your skills, please

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