A technology company in Atlanta is seeking an MLOps Engineer to build the infrastructure and tools needed for AI teams to deploy and manage models at scale. This role involves maintaining ML infrastructure, implementing model deployment systems, and automating model training. Candidates should have over 3 years of MLOps experience, strong Python skills, and familiarity with ML platforms like Databricks and SageMaker. This position offers opportunities to collaborate closely with ML engineers and data scientists.
Qualifications
3+ years of experience in MLOps or DevOps.
Experience with ML platforms like Databricks, SageMaker, or Vertex AI.
Strong skills in Python and infrastructure automation.
Responsibilities
Build and maintain ML infrastructure and pipelines.
Implement model deployment and serving systems.
Create monitoring and alerting for ML systems.
Skills
MLOps
DevOps
Python
Containerization
Kubernetes
Tools
Databricks
SageMaker
Vertex AI
Job description
We're looking for an MLOps Engineer to build the infrastructure and tooling that enables our AI teams to deploy and manage models at scale.
Responsibilities
Build and maintain ML infrastructure and pipelines
Implement model deployment and serving systems
Create monitoring and alerting for ML systems
Automate model training and evaluation
Collaborate with ML engineers and data scientists
Requirements
3+ years of experience in MLOps or DevOps
Experience with ML platforms (Databricks, SageMaker, Vertex AI)
Strong Python and infrastructure automation skills