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Data/ML Ops Architect
Maruti Suzuki
posted 28d ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
- Manage the MLOPs Infrastructure including Continuous Integration servers, Model Configuration management, Model Deployment automation, Containers, Infrastructure Orchestration, Monitoring and Analytics, Testing and Cloud Quality tools.
- Agile development mindset and familiarity with the concepts of versioning, continuous testing, integration, and delivery.
- Must have an experience in addressing issues with infrastructure security and compliance.
- Ability to prioritize and multi-task to achieve competing goals and target dates.
- Continuously evaluate, refactor, and iterate existing systems while complying with industry standards, and make recommendations for improvement with best practices to increase the quality & velocity of deployments
- Sustain and improve the process of knowledge sharing throughout the cross-functional team including multiple groups working on several different technologies.
- Analysing any setbacks or shortcomings in the operations
- Designing and delivering efficient and comprehensive best practices
- Using the right tools and techniques to automate technical processes
- Design and implement secure, reliable, and scalable system deployments
- Automate engineering processes including provisioning and de-provisioning of resources
- Participate in the definition of solution architectures to ensure that the IT organizations software solutions are built within a consistent framework and aligned to strategy
- Well versed with JIRA or equivalent project tracking tool
- Competencies / Skills
- Strong hands-on experience in Cloud Native technologies implementations. (AWS)
- Good to have experience with Datalake devops and MLOps implementation.
Employment Type: Full Time, Permanent
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Anonymous · Procurement & Supply Chain
in Manesar
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- Salary - Poor
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