Principal Machine Learning Engineer

We’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 LangGraph.Proficiency 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.Apply Now!#J-18808-Ljbffr