MTS 1, Machine Learning Engineer

Your way to impact -

As a Machine Learning Engineer, you will work on developing ML solutions that will be used across PayPal to powerup new products and by various teams as part of the key initiatives in technology and data management domains and will contribute to firmwide impact

Your day to day  

• Collaborate with global 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. 

• 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, structuring and mining data. 

• Define and build innovate ML and Generative AI systems. 

• Design and develop ML Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such 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-  

• A Master's or 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 as chatGPT. 

• Strong proficiency in programming languages such as Java, Scala, Python, Google Cloud, Biq Query, 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, Langchain, OpenAI SDK, Vector DB's (Mandatory). 

• Experience working with various Embeddings /Embedding Models & fine-tuning LLM's ( Nice to have ). 

• Strong communication skills to effectively collaborate across global teams and drive product development and adoption. 

• 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.