Job descriptionWe're looking for a Principal Machine Learning Engineer to lead the development and deployment of advanced AI systems that power our core products. In this role, you'll work at the intersection of cutting-edge research and real-world impact - transforming complex business challenges into scalable, production-ready AI solutions.Discover the RoleDesign & Deploy ModelsBuild, train, and deploy high-impact machine learning models that drive our AI capabilities.Leverage Cutting-Edge AIApply state-of-the-art techniques including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to solve complex problems.Collaborate Cross-FunctionallyPartner closely with product, engineering, and business stakeholders to translate strategic goals into actionable ML solutions.Optimize PerformanceContinuously evaluate, monitor, and improve models based on real-world performance and evolving business needs.Own Data PipelinesDevelop and maintain robust data pipelines to ensure high-quality, reliable inputs for model development.Discover the Requirements8+ years in Machine Learning, AI, Reinforcement Learning, or Data Science roles.Master's or Ph.D. in Computer Science, AI, Data Science, Statistics, or a related field.Hands-on experience with LLMs and advanced fine-tuning techniques.Strong knowledge of ML frameworks such as PyTorch, TensorFlow, or scikit-learn.Experience with Generative AI tools like LangChain, LlamaIndex, Weaviate, or LangGraphProficiency in Python or R; competitive programming or Kaggle experience is a strong plus.Demonstrated success applying machine learning to solve real-world, business-critical problems.Strong stakeholder management skills and a passion for building inclusive, high-performing teams.
