Mid Machine Learning Engineer
Core
Design, develop, deploy, and maintain scalable production-grade machine learning models and pipelines for multi-terabyte clinical and consumer datasets.
Role type
Mid-level Machine Learning Engineer
Builds
Production ML models and data ingestion pipelines
Domain
Healthcare/Life Sciences + Cloud Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, PySpark, scikit-learn, XGBoost, PyTorch, TensorFlow, MLflow, Databricks, AWS, Google Cloud, Azure
Preferred skills
MLOps practices, deep learning for time series, causal inference, large language models, time series forecasting
Technologies
MLflow, Databricks, PySpark, PyTorch, TensorFlow, XGBoost, scikit-learn
Responsibilities
Design and maintain scalable ML pipelines; architect data ingestion and feature engineering; manage end-to-end ML lifecycle; collaborate with stakeholders to prototype ML solutions
Seniority
Mid-level, hands-on IC
