Senior ML Engineer

EngineeringRemoteFull\-time ### **About this role** You'll work directly with clients and cross\-functional teams to build models that solve real business problems — demand forecasting, clinical document understanding, risk scoring, and intelligent process automation. Every model you build ships to production and creates measurable impact. ### **What you'll do** * Design and implement end\-to\-end ML pipelines — ingestion, feature engineering, training, evaluation, and serving * Build and fine\-tune models for NLP, structured prediction, and time\-series forecasting * Deploy models to production with monitoring, drift detection, and automated retraining * Collaborate with data engineers on feature stores and training data pipelines * Evaluate and integrate LLM\-based solutions where they provide clear value * Establish best practices for experiment tracking, model versioning, and reproducibility ### **What we're looking for** * 5\+ years building and deploying ML models in production * Strong Python and ML framework experience (PyTorch, TensorFlow, or scikit\-learn) * Cloud ML platform experience (SageMaker, Vertex AI, or Azure ML) * Solid understanding of MLOps — CI/CD for models, monitoring, and serving infrastructure * Comfort with messy real\-world data and robust preprocessing pipelines * Ability to explain model trade\-offs to non\-technical stakeholders ### **Bonus points** * Experience fine\-tuning and deploying LLMs in production * Background in healthcare, finance, or regulated industries * Experience building RAG systems * Contributions to open\-source ML projects ### **What we offer** * Remote\-first with async collaboration and flexible hours * Competitive salary with equity * Unlimited PTO * Learning and conference budget * Home office stipend * Health, dental, and vision coverage