Expoint - all jobs in one place

המקום בו המומחים והחברות הטובות ביותר נפגשים

Limitless High-tech career opportunities - Expoint

PayPal Senior AI Machine Learning Engineer 
France, Auvergne-Rhône-Alpes 
782411668

18.08.2024


Your day-to-day

  • Design and deploy scalable generative AI solutions and productize ML models that enhance PayPal's ability to provide a seamless customer experience
  • Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development bestpractices.
  • Drive innovation by researching andincorporating state-of-the-art machinelearning techniques, tools, and frameworks into theplatform.
  • Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
  • Mentor teammembers, provide technicalguidance, and foster a culture of collaboration, innovation, and continuous


What do you need to bring
Qualifications:

  • Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, withtechnical expertise inone or more of the above-mentioned areas or equivalent practicalexperience.
  • Strong proficiency inmachine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.
  • Stay up-to-date withthe latest advancements in AI/ML technology andindustry trends,and leverage this knowledge to build enhancedcapabilities.
  • Expert in multipleProgramming/scriptinglanguages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.
  • Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka.
  • Proficiency in SQL, ETL, database design
  • Good understanding of NoSQL database like HBase, Redis, Aerospike.
  • Good understanding of distributed systems, data streaming, complex event Processing, NoSQL solutions for creating and managing data integration pipelines for batch and Real Time data needs.
  • Expertise in machine learning libraries/frameworks such asTensorFlow, PyTorch,scikit-learn, etc.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker,Kubernetes). Experiencein Azure is a plus
  • Stay up to date with the latest advancements in AI/ML technology and industry trendsand leverage thisknowledge to enhance the platform's capabilities
  • Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner

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

Our Benefits:

Any general requests for consideration of your skills, please