PayPal Sr Engineering Manager AI/ML Solutions 

France, Auvergne-Rhône-Alpes 

470461106

Your day-to-day

As the Senior Engineering manager, you will be managing the roadmap & priorities for AI/ML Products and our Recommendation Engine. You will be on point for all technical issues and decisions, while managing stakeholders and partners across the organization.

• Provide technical leadership & manage a high-performing engineering team to build and scale our next generation recommendation engine.
• Hire and directly lead a diverse team of top-tier ML and software engineers, taking charge of all facets of AI Products
• 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
• 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
• 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 building successful AI solutions and productizing ML Models, Features Stores
• 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.
• Proficiency in multipleProgramming/scriptinglanguages, i.e. Unix/Linux Shell Scripting, Python, Java, Scala.
• Expertise in building data pipelines with 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.
• Experience with 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
• 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