Lead AI Engineer Shanghai, China

Responsibilities

• Write efficient and maintainable code following best practices in software engineering
• Working with DevSecOps tools for deploying and versioning code
• Conduct thorough research and analysis of retrieval techniques, language models, and generative AI methodologies
• Collaborate with data engineers to ensure data pipeline efficiency and accuracy
• Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback. This will include embedding, chunking, loading, and search algorithm setup
• Experiment with different retrieval strategies, including information retrieval, nearest-neighbor searches, or knowledge graph-based retrievals, to augment generative AI models
• Algorithm Optimization - Optimize and fine-tune AI models for performance, scalability, and accuracy
• Work closely with cross-functional teams, including product managers, data scientists, and software engineers, to understand requirements and deliver AI-driven solutions
• Present findings and insights to stakeholders and contribute to strategic decision-making
• Document AI models, algorithms, and processes thoroughly
• Prepare technical reports and presentations to communicate results and methodologies
• Stay up to date with the latest advancements in AI and machine learning technologies
• Participate in Agile ceremonies with the team to execute on prioritized projects and features
• Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems

Requirements

• At least 4 years of hands-on experience in AI Engineering with a track record of 1 year + technical leadership
• Deep knowledge of machine learning, specializing in large language models (LLMs) and generative AI
• Proficient in Python, with a strong grasp of scientific computing stacks essential for AI development
• Expertise in Natural Language Processing (NLP) techniques and models, including syntax, semantics, and common NLP libraries (e.g., NLTK, Spacy)
• Familiarity with Retrieval Augmented Generation (RAG) and other innovative AI techniques
• Solid experience with building and managing Restful APIs for AI model interaction
• Experienced in using AWS cloud infrastructure and services for deploying and scaling AI applications
• Experienced in implementing CI/CD pipelines to enhance development workflows
• Experience in architecting scalable AI applications is a plus
• Strong English communication skill in both oral and written (B2+)
• Strong communication skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders
• Being a good problem solver and adaptable to new developments in the fast-paced AI field
• Critical thinking skills necessary for analyzing situations, assessing data, and determining the most effective AI strategies

We offer

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us