PayPal is currently looking for freshers to join their team as Machine Learning Engineers in either Bangalore or Chennai. Candidates must possess a Master’s or Ph.D. degree in Computer Science or a related field. As a Machine Learning Engineer at PayPal, successful candidates will have the opportunity to work on cutting-edge projects in the field of artificial intelligence and machine learning. This role offers an excellent platform for recent graduates to apply their academic expertise and contribute to innovative solutions in the financial technology sector.
Company Name: PayPal
Job Role: Machine Learning Engineer
Education Required: Master’s or Ph.D. degree in Computer Science or a related field.
Experience Required: Freshers
Job Location: Bangalore, Chennai
Role and Responsibilities:
- 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 innovative ML and Generative AI systems.
- Design and develop ML Engineering Solutions & generative AI Applications for the 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.
Required Skills and Qualification:
- 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, Big 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, and Vector DB’s (Mandatory).
- Experience working with various Embeddings /Embedding Models & fine-tuning LLMs ( 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.
