PayPal Machine Learning Engineer 

France, Auvergne-Rhône-Alpes 

714261907

Your day-to-day

Designing and building large-scale distributed systems to support the end-to-end machine learning (ML) lifecycle

Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements, deliver innovative solutions, and ensure the availability, reliability, and scalability of ML Platform

Facilitate seamless collaboration with cross-functional teams from Business and Technology domains to align project goals, gather requirements, and drive successful project outcomes.

Qualifications:

3-5 Years of experience with a Bachelors degree

2-4 Years of experience with a Masters degree

Solid Understanding of machine learning concepts, algorithms, and techniques, developing and deploying machine learning models.

Expert in multipleProgramming/scriptinglanguages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.

Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka.

Expertise with NoSQL database like HBase, Redis, Aerospike.

Proven experience with distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.

Experience with cloud platforms (e.g., AWS, Azure,GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience in Azure is a plus

Good understanding of machine learning libraries/frameworks such as TensorFlow,PyTorch, scikit-learn, etc.

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 U.S. national annual pay range for this role is

$72700 to $176000

Our Benefits:

Any general requests for consideration of your skills, please