Senior Machine Learning Engineer

September 15

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Description

• Define and extract data from multiple sources, integrate disparate data into a common data model. • Document, and test complex data systems that bring together data from disparate sources. • Improve, deploy, and maintain models prepared by Data Scientists into production-grade cloud systems. • Write and refine code to ensure performance and reliability of data extraction and processing. • Lead requirements gathering sessions with business and technical staff. • Develop advanced SQL queries to extract data for analysis and model construction. • Own delivery of large, complex data and ML engineering projects. • Design and develop scalable, efficient data pipeline processes. • Ensure performance and reliability of data processes. • Document and test data processes including performance of through data validation and verification. • Collaborate with cross functional team to resolve data quality and operational issues. • Develop and implement scripts for database and data process maintenance. • Analyze and evaluate databases in order to identify and recommend improvements. • Design advanced eye-catching visualizations to convey information to users.

Requirements

• Bachelor’s degree and 5 years of experience with Data Warehouses and Data Lakes, Big Data platforms and programming in Python, R or other related language. • Understanding of ML Algorithms, experience creating & executing efficient MLOps pipelines, and tuning ML models • Familiarity with large language models and with implementation of AI solutions in a cloud environment • In lieu of degree, 7 years of experience as stated above.

Benefits

• competitive health benefits • bonus plans based on performance • 401(k) with employer match • paid time off (plus two well-being days) • variety of career development and wellness programs