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Marble X
Marble X cover picture
Founded :
2026
Type :
Products & Services
Size :
20-100
Stage :
Profitable

About

Digital Public Infrastructure powers inclusive growth, enabling businesses to innovate and integrate seamlessly. Explore how it enhances collaboration.`
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Jobs at Marble X

Marble X
at Marble X
Manpreet Kaur
Posted by Manpreet Kaur
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.

Mumbai
3 - 10 yrs
₹3L - ₹22L / yr
Shell Scripting
skill iconPython
MLOps
skill iconJenkins
skill iconGit
+4 more


Skills  - MLOps Pipeline Development | CI/CD (Jenkins) | Automation Scripting | Model Deployment & Monitoring | ML Lifecycle Management | Version Control & Governance | Docker & Kubernetes | Performance Optimization | Troubleshooting | Security & Compliance


Responsibilities:

1. Design, develop, and implement MLOps pipelines for the continuous deployment and

integration of machine learning models

2. Collaborate with data scientists and engineers to understand model requirements and

optimize deployment processes

3. Automate the training, testing and deployment processes for machine learning models

4. Continuously monitor and maintain models in production, ensuring optimal

performance, accuracy and reliability

5. Implement best practices for version control, model reproducibility and governance

6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness

7. Troubleshoot and resolve issues related to model deployment and performance

8. Ensure compliance with security and data privacy standards in all MLOps activities

9. Keep up to date with the latest MLOps tools, technologies and trends

10. Provide support and guidance to other team members on MLOps practices


Required skills and experience:

• 3-10 years of experience in MLOps, DevOps or a related field

• Bachelor’s degree in computer science, Data Science or a related field

• Strong understanding of machine learning principles and model lifecycle management

• Experience in Jenkins pipeline development

• Experience in automation scripting



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