MLOPs Architect
1 week ago
Job title - MLOPs Architect
Exp - 12 to 19 yrs
Loc - Chennai & Bangalore
Mandate Skills : Kubeflow, MLflow, and have worked on two or three complex MLOps architectures in the cloud platform.
Desired candidate :
We are looking for people who has Industrial AI background. Industrial AI - Manufacturing Real time AI case solved, Oil and Gas Real time case solved. The person should have sound background on ML Ops life cycle in Azure /AWS and working knowledge of Manufacturing AI use cases and/or Oil and Gas use cases. If some one deployed Closed Loop Manufacturing solution - Most preferred.
- Over 12 years of experience, including more than 5 years in the MLOps Engineer role and 3 years as an MLOps Architect. Independent handling of at least three production deployments is required.
- Design and implement cloud solutions and build MLOps on cloud platforms (AWS, Azure, or GCP).
- Build CICDCL (Continuous Machine Learning) and CT (Continuous Training) pipeline orchestration using tools like MLflow, Kubeflow, Kubernetes, GitLab CI, GitHub Actions, CircleCI, Airflow, or similar.
- Communicate with teams of data scientists, data engineers, and application architects, and document processes.
- Assist in deploying machine learning models into production environments.
- Contribute to the monitoring and maintenance of model performance and infrastructure health.
- Participate in the development and maintenance of automated MLOps pipelines.
- Collaborate with cross-functional teams to integrate machine learning models into production systems.
- Maintain documentation of MLOps processes and procedures.
- Work closely with technology team members in the development and implementation of AI solutions, products, and platforms.
- Knowledgeable in agile practices.
(ref:hirist.tech)-
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