Blog

Description: The machine learning engineer combines expertise in machine learning algorithms, software engineering, and data infrastructure to build intelligent systems that can learn and make predictions or decisions based on data. This role specializes in designing, developing, and deploying machine learning models and systems to meet business goals and support experimentation and innovation. They ensure infrastructure and data pipelines are structured to deploy machine learning solutions while also improving upon current processing infrastructure.

Responsibilities

•             Understands and translates business and functional needs into machine learning problem statements

•             Translates complex machine learning problem statements into specific deliverables and requirements

•             Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements

•             Translates machine learning algorithms into production-level code

•             Collaborates with development teams to test and deploy machine learning models

•             Monitor the performance of deployed models, track data or concept drift, and update or retrain models as needed

•             Ensures adherence to performance standards and compliance with data security requirements

•             Keeps abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization

Required Qualifications

•             A bachelor's degree in computer science, data science, applied mathematics, software engineering OR 5+ years of experience in lieu of degree

•             At least 3 years of experience in developing and deploying enterprise-scale machine learning solutions in a software engineering-adjacent field

•             Experience developing and debugging in Python

•             Exposure to architectural patterns of large-scale software applications

•             Expert-level knowledge of Google Cloud Platform, and Python

•             Knowledge of API development

•             Proficiency in deploying machine learning algorithms as production ready API services

•             Advanced programming skills with Python

•             Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner

•             Ability to collaborate effectively across multiple teams and stakeholders, including analytics teams, development teams, product management, and operations

•             Ability to work independently and in a fully remote environment

•             Willingness and ability to stay up to date on new ML/AI technologies and their potential impact on the company

Preferred Qualifications

•             Healthcare or health insurance experience

•             Experience with the following: Vertex AI, FastAPI, Flask, Model Server, Cloud Run, Docker

•             Specialization in applied machine learning or machine learning infrastructure preferred