Machine Learning Engineer

ShyftLabs, a dynamic data product company established in 2020, is seeking a Machine Learning Engineer to join their Atlanta team. This role combines cutting-edge ML engineering with practical business applications, focusing on building and maintaining scalable ML infrastructure for Fortune 500 clients.

The position offers an exciting opportunity to work with advanced technologies including AWS services, ML frameworks, and modern data processing tools. You'll be responsible for developing end-to-end ML solutions, from infrastructure design to model deployment, while collaborating with cross-functional teams to drive business impact.

The ideal candidate should have 3+ years of experience in ML engineering, strong programming skills in Python and SQL, and extensive knowledge of AWS services. You'll work on diverse projects including pricing optimization, operational analytics, and NLP solutions, making this role perfect for someone passionate about applying ML to solve real-world business challenges.

ShyftLabs offers a collaborative, growth-oriented environment with a hybrid work model (3 days in office), competitive salary, and comprehensive benefits. The company's commitment to innovation, coupled with its focus on employee development through learning resources, makes this an excellent opportunity for career advancement in the ML field.

As part of a growing company working with Fortune 500 clients, you'll have the chance to make significant contributions to large-scale projects while developing expertise in MLOps, cloud engineering, and machine learning infrastructure. The role combines technical excellence with business impact, offering a perfect blend for engineers looking to advance their careers in applied machine learning.