Senior Machine Learning Engineer - Remote

Overview

As a Senior Machine Learning Engineer at Mercury, you will partner with data science and engineering teams to design and deploy ML and Gen AI microservices, focusing on automating reviews to prevent money laundering and financial crimes.

In Short

• Design and deploy ML and Gen AI microservices.
• Work with full-stack engineering teams to integrate services.
• Implement testing, observability, and disaster recovery for services.
• Conduct performance and regression testing.
• Take ownership of product development and contribute to team projects.
• 7+ years of experience in machine learning engineering or related fields.
• Expertise in a full modern data stack including Snowflake and dbt.
• Proficient in SQL, Python, and data modeling.
• Experience with key-value stores and streaming data pipelines.
• Familiarity with API frameworks like FastAPI and Flask.

Requirements

• 7+ years of experience in relevant roles.
• Expertise with SQL, dbt, and Python.
• Experience with OLAP/OLTP data modeling.
• Knowledge of key-value stores like Redis.
• Experience with streaming data technologies such as Kafka.
• Familiarity with production ML services.
• Experience in full-stack development.

Benefits

• Competitive salary and equity package.
• Comprehensive benefits.
• Diversity and inclusion initiatives.
• Flexible working environment.
• Commitment to reasonable accommodations for applicants.