Machine Learning Engineer
Core
Develop, optimize, and deploy machine learning models to support project objectives and drive innovation across operations and research.
Role type
Senior Machine Learning Engineer (Contractor)
Builds
Production ML models and MLOps pipelines
Domain
Life Sciences / General ML
Deliverable
production ML models
Required skills
Python, numpy, pandas, scikit-learn, xgboost, Git, data modeling, software architecture, statistics, clustering, classification, outlier analysis
Preferred skills
API endpoint development, AWS cloud computing, PyTorch, MLOps pipeline management, deep learning frameworks
Technologies
AWS, PyTorch, Git, xgboost
Responsibilities
Develop, optimize, and deploy machine learning models; Process and analyze large datasets; Maintain and improve existing machine learning models; Collaborate with cross-functional teams to integrate ML solutions; Utilize software development tools to maintain a robust codebase; Apply machine learning techniques to solve complex problems