PayPal Lead Principal ML Engineer AI Solutions 

France, Auvergne-Rhône-Alpes 

565467628

Your day-to-day

• ·Design, build, and maintain scalable and robust data pipelines and architectures to support data collection, transformation, and integration from various sources.

  ·Utilize advanced SQL and programming skills to query, manipulate, and manage large datasets effectively. Ensure data integrity, optimize database performance, and enhance database operations.

  ·Deploy, monitor, and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability.

  ·Collaborate closely with data scientists, analysts, and other stakeholders to understand data requirements, provide technical support, and ensure the availability, reliability, and scalability of data systems.

  ·Lead and mentor team members, fostering their professional growth and ensuring high standards of engineering excellence.

  ·Demonstrate effective communication skills by clearly articulating complex technical concepts to both technical and non-technical stakeholders.

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

What do you need to bring
Qualifications:

• Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-paced high-pressure environment; proven results in delivery on platformproducts.
• 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.
• 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.
• Proficiency in machine learning libraries/frameworks such asTensorFlow, PyTorch,scikit-learn, etc.
• Expertise with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker,Kubernetes). Experiencein Azure is a plus
• Stay up-to-date withthe latest advancements in AI/ML technology andindustry trends,and leverage this knowledge to build enhancedcapabilities.
• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner
• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential.

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