Machine Learning Engineer

What you need to know about the role We are seeking a talented Machine Learning Engineer with expertise in software engineering to join our team. As a Machine Learning Engineer, your primary responsibility will be to develop Machine Learning (ML) solutions that focus on technology improvements. Specifically, you will be working on projects involving ML & Generative AI solutions for Technology & Data Management Efficiencies such as optimal cloud computing, knowledge bots, Assistants etc. Meet our team 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 a large scale. Join us in making a difference with ML & Generative AI solutions like cloud computing optimizations, knowledge bots, and Assistants.

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.

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply