Remote Data Scientist/Machine Learning Engineer

Elevate your career as a Remote Data Scientist/Machine Learning Engineer with Antarctica Capital. Collaborate on cutting-edge machine learning systems while focusing on bond risk prediction.

This position invites a highly skilled professional with 7+ years of experience in ML, Python, and AWS. You'll engage closely with existing neural networks and lead enhancements to improve model performance, reliability, and efficiency. Work within a fast-moving agile team to create impactful machine learning capabilities across multiple groups.

Key Responsibilities:

• Refactor neural network for bond risk assessment
• Design and deploy machine learning models to production
• Collaborate with data scientists on prototype translation
• Build and maintain data pipelines and infrastructure
• Implement automated MLOps workflows

Requirements:

• 7+ years in building machine learning models
• Proficiency in Python, AWS, Pytorch, and TensorFlow
• Experience with ML observability tools
• Understanding of software engineering principles
• Exposure to orchestration tools like Apache Airflow

Become a key player in enhancing machine learning capabilities at Antarctica Capital.