ML Engineer

About

Join Antarctica Capital as a Machine Learning Engineer, where you will play a crucial role in developing scalable ML systems. This fully remote position focuses on risk prediction models for the bond market.

We seek a seasoned ML professional with over 7 years of experience in Python and AWS. You will work on refactoring an existing neural network and lead initiatives that drive efficiency and performance in model development. Engage with a dynamic agile team, creating solutions that make a difference across the firm.

Key Responsibilities:

• Lead architecture for bond risk neural network
• Design and implement machine learning models into production
• Collaborate to convert prototypes into operational systems
• Optimize model performance and latency
• Monitor production models and address any performance issues

Requirements:

• 7+ years of machine learning experience
• Strong skills in Pytorch, Tensor Flow, and Python
• Familiarity with cloud platforms and tools
• Understanding of algorithms and data structures
• Experience with data orchestration technologies

Help shape the future of ML systems at Antarctica Capital as part of a collaborative team.