Machine Learning Engineer

ShyftLabs, a dynamic data product company founded in 2020, is seeking a Machine Learning Engineer to join their growing team in Atlanta. This role focuses on designing and implementing AI-driven solutions, with a particular emphasis on conversational AI and NLP systems. The position offers an exciting opportunity to work with Fortune 500 clients, building scalable ML infrastructure and deploying production-ready machine learning systems.

The ideal candidate will bring 3+ years of experience in machine learning engineering, with strong expertise in cloud platforms and ML operations. They will be responsible for developing end-to-end ML pipelines, implementing NLP solutions, and building intelligent chatbot systems. The role requires proficiency in Python, SQL, and various ML frameworks, along with extensive experience with AWS services.

Working in a hybrid environment (3+ days in the downtown Atlanta office), the successful candidate will collaborate with cross-functional teams to deliver impactful AI solutions. ShyftLabs offers competitive compensation, strong healthcare benefits, and significant professional development opportunities. The company's commitment to AI-driven innovation and automation, combined with its focus on employee growth, makes this an excellent opportunity for a skilled ML engineer looking to make a significant impact in a growing organization.

The position offers the chance to work with cutting-edge technologies, including large language models, conversational AI, and MLOps, while solving complex challenges for major enterprise clients. ShyftLabs' emphasis on creating value through AI-driven innovation provides an excellent platform for professional growth and technical advancement in the field of machine learning and AI engineering.