Machine Learning Engineer

A fast-growing crypto-asset investment company determined to bring game-changing solutions to the FinTech industry is looking for a Machine Learning Engineer. The engineer will be responsible for utilizing new and existing machine learning libraries/frameworks to build advanced products on the platform. The company is utilizing proprietary technology, datasets, research, predictive analytics, professional trading, and portfolio management services to help businesses and investors experience rapid growth. This will be a long-term and full-time role requiring some overlap with the PST time zone. 

Job Responsibilities:

• Create cutting-edge machine learning models for generative data
• Existing models' performance should be trained, monitored, and analyzed
• Manage the product's entire software development life cycle, including design, development, deployment, testing, maintenance, and documentation
• Collaborate with cross-functional teams to produce high-quality products that meet the business needs
• Define and improve internal style, maintainability, and best practices for a large-scale web environment

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 3+ years of relevant experience as a software engineer
• Must have experience with creating ML pipelines
• Knowledge of SageMaker is a must
• Must be a problem solver, proactive, and passionate team player
• Ability to create clean, modern, testable, well-documented code