PayPal Sr Machine Learning Engineer France, Auvergne-Rhône-Alpes 272630240
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 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
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $137,500 to $236,500
Our Benefits:
Any general requests for consideration of your skills, please
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