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