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PayPal Lead Engineer ML & GenAI France, Auvergne-Rhône-Alpes 507532102
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We part of AI Platform and Solutions group comprising of Machine Learning Engineer and Software Engineers. As a Machine Learning Engineer, you will working on developing ML solutions that enhance technology and data management efficiencies for various teams. Your work fits seamlessly within our organization to drive innovation and deliver cutting-edge products and services at large scale. Join us in making a difference with ML & Generative AI solutions like cloud computing optimizations, knowledge bots, and Assistants.
Job Description:
3-4 sentences- describing the
How the role fits within the wider organisation + how the role/org service our customers.
As a Machine Learning Engineer, you willon developing ML solutionsas part of the key initiatives intechnology and data managementdomains and
Your day to day
Partnersand Partner Team Developers toidentifyopportunities for process improvements that can be solved using machine learning and generative AI.
Lead junior ML Engineers and guide them. Coordinate for product release and spread adoption among user communities
Write clean, high-performance, high-quality, maintainable code.
Discovering, analyzing,structuringand mining data.
Define and buildinnovateML and Generative AI systems.
Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability ofsuch solutions.
Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
Stay abreast of the latest advancements in the field of Generative AI and actively contribute to the research and development of new ML & Generative AI Solutions.
What do you need to bring
Master'sor Ph.D. degree in Computer Science or a related field.
Proven experience working as a Software Engineer lead/manager, with a focus on ML Engineering and exposure to Generative AI Applications such aschatGPT.
Strongproficiencyin programming languages such as Java, Scala, Python, Google Cloud,BiqQuery, Hadoop & Spark etc
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testingmethodologies.
Experience with large language models (LLMs), Prompt Engineering Techniques,Langchain, OpenAI SDK, Vector DB's (Mandatory).
Experience working with various Embeddings /Embedding Models & fine-tuning LLM's( Nicetohave ).
Strong communicationskills to effectively collaborate across global teams and drive product development and adoption.
Proven ability to adapt and learnnew technologiesand frameworks quickly.
A proactive mindset with a passion for continuous learning and research in the field of Generative AI.
Any general requests for consideration of your skills, please
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