Lead AI Machine Learning Engineer

Summary

Join Burq to make a big impact in delivering simple turnkey solutions for businesses. As a Lead AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines, working closely with data engineers, scientists, and business stakeholders.

Responsibilities

• Design, develop, and deploy machine learning models using Databricks and Apache Spark
• Implement data preprocessing, feature engineering, and model training pipelines
• Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning
• Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets
• Conduct exploratory data analysis to identify trends, patterns, and anomalies
• Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake
• Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models
• Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders
• Collaborate with data scientists to refine and improve machine learning models
• Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards
• Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed
• Communicate complex technical concepts and results to non-technical stakeholders effectively