Bree - Machine Learning Engineer, Underwriting
Requirements
• Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch. • Strong understanding of machine learning algorithms, including supervised and unsupervised learning techniques. • Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker for tracking experiments and automating workflows. • Hands-on experience with data manipulation libraries (Pandas, NumPy) and databases (SQL, NoSQL). • Knowledge of cloud-based ML deployment and infrastructure management. • Ability to implement real-time and batch inference pipelines efficiently. • Strong analytical and problem-solving skills to translate business needs into scalable ML solutions. • Eagerness to work in a fast-paced environment and continuously refine ML processes for efficiency and accuracy.
Responsibilities
• Design, develop, and deploy end-to-end machine learning pipelines, ensuring efficiency in training, validation, and inference. • Implement MLOps best practices, including CI/CD for ML models, model versioning, monitoring, and retraining strategies. • Optimize ML models using feature engineering, hyperparameter tuning, and scalable inference techniques. • Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation. • Collaborate with data engineers to develop high-performance data pipelines for training and inference. • Deploy and manage models on cloud platforms (AWS, GCP, Azure) with containerization and orchestration tools like Docker and Kubernetes. • Maintain model performance by implementing continuous monitoring, bias detection, and explainability techniques.
Benefits
• 💰Top of the market compensation for top performers • ⚕️Comprehensive health, dental, and vision benefits plan • 🖥 $1,500 annual learning & home-office stipend • 🧘🏼 $1,000 annual wellness stipend • 🍔 Monthly Lunch Stipend • 🚼Paid Parental leave • 🏝20 annual PTO days + unlimited sick days • 🚀 Quarterly Team Gatherings • ☕ In Office Amenities
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