Data Scientist - Machine Learning (remote)

Join Antarctica Capital as a Data Scientist/Machine Learning Engineer in a fully remote role. Focus on enhancing modeling techniques for bond risk prediction and advancing ML infrastructure. In this senior role, you will lead the refactoring of neural networks and collaborate with the existing architect. Your expertise in Python and AWS will help you design, develop, and deploy machine learning models that drive impactful results throughout the organization. Key Responsibilities:

• Refactor existing neural network for bond risk predictions
• Collaborate with architect for model improvements
• Design and deploy ML models into production
• Build and maintain data pipelines and model-serving infrastructure
• Monitor models for performance and quality issues Requirements:
• 7+ years of experience in machine learning models
• Proficiency in Python and AWS tools
• Experience with Pytorch and TensorFlow frameworks
• Understanding of ML observability technologies
• Solid grasp of algorithms and data structures Leverage your machine learning expertise while having the flexibility of a fully remote position at Antarctica Capital.