PayPal Senior Manager AI/ML Platform 

France, Auvergne-Rhône-Alpes 

457244180

Your day-to-day

We are seeking a highly motivated, self-starter Senior Engineering Manager to lead our AIML Engineering team to help achieve this mission.

• Provide technical leadership & manage a high-performing engineering team to build and scale a highly secure, reliable, and performant AI/ML platform to enable a standardized end-to-end model development and production lifecycle with delightful user experience
• Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of all facets of ML product development including ML modeling, data/ML pipelines, productization, and ML monitoring.
• Collaborate with cross-functional teams including product managers, data scientists, and software engineers and stakeholders to define platform requirements andpriorities.
• Develop and evolve engineering processes and collaboration models to optimize team efficiency and collaboration
• 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.
• Mentor teammembers, provide technicalguidance, and foster a culture of collaboration, innovation, and continuouslearning.
• Stay up to date with the latest advancements in AI/ML technology and industry trendsand leverage thisknowledge to enhance the platform's capabilities

What do you need to bring
Qualifications:

• Proven experience in leading or managing machine learning/AI teams, with a track record of successful project deliveries.
• Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume, innovative and fast-pacedhigh-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.
• Expertise in programming languages such as Python, Java,and proficiency inmachine 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
• Experience of big data technologies, open-source data processing frameworks. E.g., Spark, Hadoop, HBase, Elasticsearch, Pig, Hive, and so on.
• Experience of NoSQL databases like HBase, Redis, Aerospike, Vector databases and graph technologies.
• 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