Machine Learning Ops Engineer
Core
Own the production pipeline for all data science jobs, create monitoring solutions, and scale infrastructure for data volumes and SLAs.
Role type
Senior Machine Learning Ops Engineer
Builds
Production ML pipelines, monitoring solutions, and CI/CD infrastructure
Domain
SaaS, Partnership Management, Cloud Infrastructure
Deliverable
production ML models
Required skills
MLOps, Data Engineering, CI/CD, Kubernetes, Docker, Terraform, Spark, GCP, PyTorch, TensorFlow, Keras, Big Data
Preferred skills
Databricks, Google Cloud certifications, Deep Learning frameworks
Technologies
Databricks, Kubernetes, Docker, Jenkins, Git, Terraform, Spark, PyTorch, TensorFlow, Keras, GCP
Responsibilities
Own production pipeline for all DS jobs, Work closely with data science on new pipelines, Create monitoring solutions around all aspects of pipeline, Scale solutions around data volumes, budget, SLAs, infrastructure, CI/CD pipeline ownership, Interface with external systems to extract data, Develop and mentor best practices within Impact
Seniority
Senior, hands-on IC
