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- Overseeing theendtoend machine learning lifecycle from model development todeployment and monitoring.
- Leading a team ofMLOps engineers and collaborating with crossfunctional teams toensure successful implementation of
- Implementing andoptimizing scalable and reliable MLOps workflows using technologiessuch as TensorFlow ML Flow
- Kubeflow Airflowand Pachyderm.
- Managing and maintaining machinelearning infrastructure including container orchestration platformslike Kubernetes
- RedHat OpenShift andRancher.
- Collaborating with data scientistssoftware engineers and DevOps teams to bridge the gap betweendevelopment and
- Ensuringthe security scalability and performance of machine learningsystems in production.
- Staying abreast ofindustry trends and emerging technologies in MLOps andincorporating best practices into our
- MachineLearning
- TensorFlow/ MLFlow/ KubeFlow/ AirFlow/Pachyderm
- Container Orchestration platformslike Kubernetes/ RedHat/ OpenShift/Rancher
- Experience in any Big Data Technologywill bepreferred
Machine Learning Operations Engineer - Bengaluru, India - Nile Connect LLP
Description
Principal MLOPsEngineerBengaluruABOUTUSJOBDESCRIPTIONKeyResponsibilities:
EXPERTISEAND QUALIFICATIONS
kubernetes/,pachyderm,dataengineering,scalability,kubernetes,security,machinelearning,airflow,performance of machine learningsystems,tensorflow,big data technology,artificialintelligence,openshift/,rancher,machine learninglifecycle,openshift,ml flow,ai,redhat,mlflow,leading a team ofmlops engineers,kubeflow,mlops