ML Architect - Remote

Overview

We are looking for a ML Architect to collaborate with Data Scientists and AI/ML community across BUs, Data Engineering, SMEs, and technical leads to help evangelize and translate business problems into scalable ML solutions across the client.

In Short

• Define model serving strategies (batch, real-time, streaming inference)
• Design and implement ML Experimentation Platform, HPO, standardization of ML pipelines and ML Metadata Storage.
• Develop and maintain the feature repository, model governance and compliance.
• Build and own the ML Portfolio based on BU needs.
• Support ML Infrastructure as an administrator on Databricks, Snowflake and Sagemaker.
• Own and publish best practices.

Requirements

• Experience in Machine Learning and Data Engineering
• Knowledge of ML Experimentation and best practices
• Familiarity with Databricks, Snowflake, and Sagemaker
• Strong problem-solving skills
• Ability to work collaboratively in a team environment

Benefits

• Opportunity to work on cutting-edge ML solutions
• Collaborative work environment
• Professional development opportunities