4 ml ops engineer jobs at 4 companies in Atlanta, GA
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ML/ML Ops Principal Engineer
Atlanta, Georgia, United States
OnsiteFull Time
7+ YOERequires experience building and deploying ML models and ML Ops pipelines, cloud deployment (GCP/AWS/Azure), Snowflake/Big query and SQL expertise, GenAI experience; BS/BA typically required with 10+ years or MS/MA with 7+ years.
GCP, AWS, Azure, Snowflake, Big query, SQL, Kubernetes, docker, Generative AI (GenAI)
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AI/ML Engineer
Atlanta, Georgia, United States
HybridFull Time
5+ YOE5+ years in ML engineering or data/AI roles; strong Python; AWS; Snowflake/Snowpark; NLP/classification models; ML Ops; multi-tenant SaaS experience.
Python, PyTorch, TensorFlow, scikit-learn, AWS, SageMaker, S3, ECS, Lambda, IAM, Snowflake, Snowpark, Docker, Kubernetes, GitHub Actions, CI/CD
2mo
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Staff Tech Ops: POPs & Payments Engineer
Atlanta, Georgia, United States
OnsiteFull Time
12+ YOE10-12 years IT experience; Bachelor’s degree preferred; ITIL; Microsoft OS; API integrations; PowerShell/Python scripting; ML/AI/RPA familiarity; strong leadership and vendor management.
PowerShell, Python, APIs, Microsoft Windows, ITIL, SDLC, AI/ML/RPA
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Senior Manager, Machine Learning Ops
Atlanta, Georgia, United States
$143k-$169k/yr OnsiteFull Time
6+ YOE3+ MgmtRequires 6+ years in MLOps, data engineering, or software engineering; 3+ years managing MLOps or data platform teams; Python, cloud ML, Git, CI/CD, Docker, Kubernetes, and ML lifecycle expertise.
Docker, GitHub Actions, Azure Container Registry, Azure Kubernetes Service (AKS), Azure Container Instances (ACS), Azure Machine Learning, Microsoft Fabric Data Science, Python, Git, AWS SageMaker, GCP Vertex AI, Azure DevOps, Kubernetes