Machine Learning Engineer

Job Summary

Working remotely in a full-time capacity, the Machine Learning Engineer will build and implement supervised and unsupervised AI/ML models, develop solutions using the Snowflake Cloud platform, and enhance production-level machine learning models to improve business outcomes.

Key responsibilities

• Research, analyze, and implement machine learning solutions on the Snowflake Cloud data warehouse platform
• Develop novel AI/ML solutions utilizing the latest techniques and perform data cleansing and feature engineering using Python
• Collaborate with cross-functional teams to support all aspects of model development, including validation, calibration, and monitoring

Required qualifications

• Master's degree in a quantitative/applied field such as Engineering, Computer Science, or Data Science
• Expertise in manipulating and analyzing large datasets, including proficiency in SQL
• Proficient in programming and modeling using Python
• Knowledge of pre-training and fine-tuning foundation LLM models and frameworks like LangChain
• Experience applying current machine learning techniques and understanding evolving data science concepts