Machine Learning Engineer - LLM

CloudWalk is a fintech company revolutionizing the payments industry through large language models (LLMs). As a Machine Learning Engineer in our Conversational AI team, you'll transform advanced LLM research into real-world applications. Our team focuses on integrating LLMs with graph workflows and retrieval-augmented generation (RAG) to tackle various fintech challenges.

The role involves alternating between exploration and exploitation phases, working on knowledge integration, performance optimization, and ensuring low-latency responses. You'll be part of a collaborative environment where data scientists, ML engineers, and software engineers work together to create innovative solutions.

Our Conversational AI teams are building the future of fintech, developing everything from customer-facing bots for financial management to internal systems for operational efficiency. The team's mission is to enable customers to manage their finances through conversational interfaces, including transactions and real-time business analytics.

Key responsibilities include enhancing RAG pipelines, exploring innovative knowledge integration methods, designing conversation workflows, and maintaining knowledge bases. You'll work in a dynamic environment that values both research exploration and practical implementation.

We're looking for candidates with strong machine learning foundations and software engineering skills. While extensive LLM expertise isn't required, practical ML experience and adaptability are crucial. The role offers opportunities to work with cutting-edge technology while delivering tangible benefits to customers.

Our recruitment process includes technical assessments and interviews to ensure mutual fit. We promote diversity and inclusion, welcoming authenticity regardless of background. Join us in shaping the future of financial technology through innovative AI solutions.