MLOps Engineer
MLOps Engineer
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INR INR 2000000 - 6000000
1 Vacancy
Job Description
Key Responsibilities:
- ML Model Deployment: Design and implement endtoend machine learning pipelines including model deployment monitoring and maintenance.
- Infrastructure Automation: Develop and maintain infrastructure as code (IaC) to automate the setup of ML environments and CI/CD pipelines for model deployment.
- Monitoring and Maintenance: Monitor model performance data drift and system health ensuring optimal operation of ML systems in production.
- Collaboration: Work closely with data scientists and machine learning engineers to streamline processes and deploy models quickly and effectively.
- Tooling and Frameworks: Implement and integrate MLOps tools for model versioning data management and workflow orchestration.
- Optimization: Identify and resolve bottlenecks in ML workflows to improve efficiency scalability and reliability.
Required Skills and Experience:
- DevOps & Automation: Strong experience with DevOps principles and tools including CI/CD (Jenkins GitLab CI or similar) containerization (Docker) and orchestration (Kubernetes).
- Cloud Platforms: Handson experience with cloud services like AWS GCP or Azure for model deployment and infrastructure management.
- ML Lifecycle Management: Familiarity with MLOps frameworks and tools such as MLflow Kubeflow TFX or SageMaker.
- Programming Skills: Proficiency in Python and/or Java with an understanding of ML libraries and frameworks (TensorFlow PyTorch Scikitlearn).
- Data Management: Knowledge of data versioning data pipelines and data management solutions to support model lifecycle.
- Monitoring and Logging: Experience with monitoring tools (Prometheus Grafana) and logging frameworks to ensure model performance and system reliability.
gcp,sagemaker,ci/cd,tensorflow,scikit-learn,grafana,pytorch,model deployment,prometheus,aws,docker,data versioning,java,mlflow,azure,tfx,devops,infrastructure,mlops,kubernetes,ci,python,machine learning,data management,kubeflow
Employment Type
Full Time
Company Industry
Key Skills
- ASP.NET
- Health Education
- Fashion Designing
- Fiber
- Investigation
