Senior Machine Learning Engineer

North Carolina

Machine Learning

Permanent

Our client, a well-known global organization, are hiring a Machine Learning Engineer to joint heir dedicated ML team in North Carolina. The successful candidate will contribute to developing and maintaining the complete ML operations pipeline, driving the adoption of machine learning across the company’s product portfolio.

Responsibilities

As the Machine Learning Engineer, you will build and deploy secure, scalable pipelines to manage the complete lifecycle of ML models.
Work closely with application engineers to integrate, test and oversee ML models across the product suite.
Create tools and services to enhance ML architecture, seamlessly integrating with the organization’s microservices ecosystem.
Leverage advanced ML techniques, including generative AI, NLP, classification, spam detection and personalization/ranking, to deliver real-time, scalable solutions.
Drive the ongoing development of our ML platform to adapt to evolving product and customer demands.

Skillset

Minimum of two years of experience in ML engineering, specializing in Python for backend development and AWS for model deployment.
Strong proficiency with data engineering tools such as S3 and SQL for feature extraction and model development.
Practical experience with platforms like SageMaker for building and deploying models.
Competence in Unix/Linux environments, with a preference for Ubuntu.
Knowledge of machine learning concepts, including large language models (LLMs) and real-time ML solution deployment.
Ability to develop innovative and effective solutions for managing high-throughput systems.