Design, build, and improve ML-powered software products that deliver real value to users.
Explore, analyze, and model large-scale textual data to support accurate predictions, classification, and decision-making.
Develop and evaluate NLP and machine learning models, using LLMs and generative AI techniques when relevant.
Move quickly from data analysis and experimentation to prototypes, production-ready code, and integration with other services.
Own the quality, performance, and ongoing improvement of your work through metrics, evaluation, and data-driven iteration.
Collaborate with product, engineering, and research partners while learning from a strong technical team.
5+ years of experience as a machine learning engineer, data scientist, software engineer or in a related technical role.
Strong Python skills, with experience building, shipping, and maintaining production-grade code.
Solid software engineering fundamentals, including clean APIs, testing, CI/CD, observability, and maintainable codebases.
Practical experience working with large-scale data, data modeling, and production systems that support data-driven products.
Familiarity with machine learning, deep learning, and NLP concepts, with hands-on experience using frameworks such as PyTorch, TensorFlow, or scikit-learn.
Experience with GenAI and LLMs is a plus.
Bachelors degree in Computer Science or a related field; Masters degree is a plus.
