Job Description
Top Skills
+ End-to-end MLOps platform architecture (data ingestion, feature stores, model training, registry, deployment, monitoring)
+ Expert-level experience with AWS, Azure, or GCP ML services (SageMaker, Azure ML, Vertex AI)
+ Kubernetes, Docker, and Terraform (Infrastructure as Code)
+ Strong Python development experience with PyTorch, TensorFlow, and/or scikit-learn
+ Experience building and supporting distributed data and machine learning pipelines
+ Strong communication skills and ability to work independently
Overview
We are seeking a Senior MLOps Engineer to design, build, and scale enterprise-grade machine learning platforms that support the full AI/ML lifecycle. This role requires a hands-on technical leader who can architect robust MLOps solutions while partnering with data scientists, software engineers, and business stakeholders to bring machine learning models into production.
The ideal candidate has ...
+ End-to-end MLOps platform architecture (data ingestion, feature stores, model training, registry, deployment, monitoring)
+ Expert-level experience with AWS, Azure, or GCP ML services (SageMaker, Azure ML, Vertex AI)
+ Kubernetes, Docker, and Terraform (Infrastructure as Code)
+ Strong Python development experience with PyTorch, TensorFlow, and/or scikit-learn
+ Experience building and supporting distributed data and machine learning pipelines
+ Strong communication skills and ability to work independently
Overview
We are seeking a Senior MLOps Engineer to design, build, and scale enterprise-grade machine learning platforms that support the full AI/ML lifecycle. This role requires a hands-on technical leader who can architect robust MLOps solutions while partnering with data scientists, software engineers, and business stakeholders to bring machine learning models into production.
The ideal candidate has ...
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