Machine learning engineer

Seven Seven • Newport Beach, CA, United States • $200k - $250k / year • 1m ago

Job Title: Machine Learning Engineer

The client is looking for a Machine Learning Engineer to join a diverse team dedicated to providing best-in-class data services to their customers, stakeholders, and partners.

Responsibilities

Design and implement machine learning models and data ingestion pipelines.
Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
Expand and optimize data pipelines, data flow, and collection for cross-functional teams.
Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
Work with architecture, data, and design teams to assist with data-related technical issues and support data infrastructure needs.
Implement Machine Learning (ML) and Big Data platforms in hybrid and multi-cloud environments, specifically in AWS SageMaker.
Experience in container, streaming, and messaging technologies is a plus.

Qualifications

A full stack engineer with a deep understanding of data science and software engineering practices.
Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
Advanced proficiency with Python frameworks, Java, and Scala.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
Good understanding of mathematics, statistics, and algorithms.
Excellent analytical and problem-solving abilities.
Great communication and collaboration skills.