Machine Learning Engineer - LLM
December 6
Description
• Welcome to CloudWalk - a fintech company that is committed to revolutionize the payments industry by harnessing the transformative potential of large language models (LLMs). • We are seeking a Machine Learning Engineer to join one of our Conversational AI teams, where you will turn advanced LLM research into impactful real-world applications. • Our Conversational AI teams are shaping the future of fintech, integrating LLMs with graph workflows and retrieval-augmented generation (RAG) to address a wide array of challenges. • Projects range from customer-facing bots that streamline financial management to internal systems that improve operational efficiency. • You will engage in a dynamic workflow that alternates between exploration and exploitation, focusing on enhancing knowledge integration, optimizing performance, and ensuring low-latency responses. • You will work collaboratively with data scientists, software engineers, and other stakeholders to align priorities and contribute where your expertise is most impactful.
Requirements
• Machine learning: Strong foundation in machine learning principles, with hands-on experience in natural language processing (NLP) or large language models (LLMs). • Data science: Proficiency in designing experiments, analyzing results, and iterating based on data-driven insights. • Collaboration: Ability to work effectively with cross-functional teams to integrate ML solutions into production systems. • Python proficiency: Advanced coding skills in Python, including experience with ML pipelines and debugging in production environments. • Retrieval augmented generation: Familiarity with the basics of RAG and a strong willingness to learn advanced systems. • Evaluation and monitoring: Understanding frameworks for evaluating model performance and ensuring reliability. • Elixir: Familiarity with Elixir or willingness to learn, given its importance in our infrastructure and tooling.
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