MLOPS Engineer
1 week ago
Location : Coimbatore
Mode of Interview - In Person - Coimbatore Data - 11th Oct 2025 (Saturday)
Responsibilities:
- Model Deployment, Model Monitoring, Model Retraining
 - Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline
 - Drift Detection, Data Drift, Model Drift
 - Experiment Tracking
 - MLOps Architecture
 - REST API publishing
 
Job Responsibilities:
- Research and implement MLOps tools, frameworks and platforms for our Data Science projects.
 - Work on a backlog of activities to raise MLOps maturity in the organization.
 - Proactively introduce a modern, agile and automated approach to Data Science.
 - Conduct internal training and presentations about MLOps tools' benefits and usage.
 
Required experience and qualifications:
- Wide experience with Kubernetes.
 - Experience in operationalization of Data Science projects (MLOps) using at least one of the popular frameworks or platforms (e.g. Kubeflow, AWS Sagemaker, Google AI Platform, Azure Machine Learning, DataRobot, DKube).
 - Good understanding of ML and AI concepts. Hands-on experience in ML model development.
 - Proficiency in Python used both for ML and automation tasks. Good knowledge of Bash and Unix command line toolkit.
 - Experience in CI/CD/CT pipelines implementation.
 - Experience with cloud platforms - preferably AWS - would be an advantage.
 
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