About the Role
Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for process improvements that can be solved using machine learning and generative AI. You will be part of the AI/ML Platforms and Solutions Organization, building advanced Generative AI Solutions that are designed to create real-world impact by automating, optimizing, and simplifying processes for developers and organizations alike. By embedding intelligence into the development cycle, we enable PayPal teams to move faster, work smarter, and achieve more.
Your way to impact
- Define and build innovative ML and Generative AI systems.
- Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
Your day-to-day
- Write clean, high-performance, high-quality, maintainable code.
- Discovering, analyzing, structuring and mining data.
- 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
- A master's or Ph.D. degree in Computer Science or a related field.
- Minimum 6 years of experience in Machine Learning and the last 1-2 years in Generative AI solutions.
- Proven experience working as a Full Stack ML Engineer, with a focus on Machine Learning, ML Engineering and experience in Generative AI Applications such as RAG based AI Agents.
- Strong proficiency in programming languages such as Machine Learning Algorithms, Python, Hadoop & Spark etc.
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
- Experience with large language models (LLMs) & prompt engineering techniques, vector DB's (Mandatory).
- Experience working with various Embeddings /Embedding Models & fine-tuning LLM's (Nice to have).
- Strong communication skills to effectively collaborate and present findings to both technical and non-technical stakeholders.
- Proven ability to adapt and learn new technologies and frameworks quickly.
- A proactive mindset with a passion for continuous learning and research in the field of Generative AI.