- Proven experience in NLP and data science, working with unstructured or multimodal data

- Strong ability to build and maintain data pipelines with validation and monitoring

- Hands-on experience with NLP and LLM techniques such as embeddings, semantic similarity, and tokenization

- Skilled in ML experimentation and evaluation metrics

- Proficient in writing production-quality Python code

- Experience with cloud-based AI development, preferably on AWS (e.g. S3, Lambda, Bedrock, DynamoDB)

- Familiarity with LangChain, LangGraph, LangSmith

- Experience with Streamlit for prototyping and tooling

- Exposure to CI/CD workflows and unit testing best practices

- Experience with FastAPI and cloud deployment

- Parse and process unstructured and multimodal data to improve chatbot knowledge base

- Build, monitor, and maintain data pipelines with validation and error handling

- Apply NLP and LLM methods to build and optimize semantic search and generative modeling workflows

- Design and run experiments and evaluations, using appropriate ML metrics

- Write clean, scalable Python code to operationalize AI models and backend systems

- Collaborate with product and engineering teams to deliver customer-facing features

- Build CI/CD pipelines and unit tests to support deployment workflows

- Use LangChain ecosystem LangGraph, LangSmith) for LLM orchestration

- Prototype tools and interfaces using Streamlit

- Collaborate with Product Managers, Designers, and Engineers to define clear, actionable metrics that measure product success and adoption.

- Develop and maintain dashboards to track performance trends of tech products (e.g., up-selling platform, pre-arrival verification flow) and ensure stakeholders have timely, reliable insights.

- Conduct deep-dive analyses to diagnose changes in performance, uncover drivers, and answer high-priority business questions.

- Identify new opportunities for product growth or optimization by analyzing user behavior, conversion funnels, and engagement patterns.

- Present findings and recommendations to cross-functional partners, influencing product roadmaps and KPI improvements.

RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together was their passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.

Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge cloud computing technologies to create scalable and resilient applications. We aim to provide diverse product solutions for different industries and plan to build a large number of startups in the upcoming years.

At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.

- Customer First Mentality - Every decision we make should be made through the lens of the customer.

- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.

- Ownership - Step up if you see an opportunity to help, even if it's not your core responsibility. 

- Humility and Respect - Be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.

- Frugality - being frugal and cost-conscious helps us do more with less

- Deliver Impact - get things done most efficiently. 

- Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.