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- Lead the AI Solutions Cloud development effort focusing on scalability, quality and performance
- Design and implement MLOps processes for multiple AI projects
- Design and develop CI/CD pipelines with Jenkins, AWS code pipeline, code build, lambda, etc.
- Good understanding of deploying machine learning models into production and implementing systems to support MLOps processes
- Experience with Agile process methodology, CI/CD automation in the cloud Test-Driven Development
- Knowledge of system design and implementation towards infrastructure management and operations
- Development and deployment experience with most of the infrastructure/services of AWS using Terraform and CloudFormation
- Experience with manageability and automation interface of AWS services
- Develop operational best practices, monitor, define SLAs, and measure metrics
GOOD TO HAVE:
- Strong notions of security best practices in AWS using IAM & KMS
- Manage and operate Big Data and other tech system stacks on a daily basis (EMR/Airflow/Kinesis/S3/EC2)
- Design and implement highly effective automated methods to build and update big data infrastructure
- Monitor data performance and modify infrastructure, leveraging Cloud-Native monitoring in logging (CloudWatch)
- Support Data Warehouse / Data Services Platform support / Operations
Key Skills
Ranked by relevance
c
cloud
aws
ai
big data
mlops
ui
machine learning
cloudformation
data warehouse
terraform
jenkins
scala
sla
nat
s3
ha
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- Posted
- Dec 16, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bengaluru
- Company
- Schneider Electric
Industries
IT Services
IT Consulting
Transportation
Logistics
Supply Chain
Storage
Categories
Consulting
Engineering
Information Technology
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2026-05-21
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Engineering
View Job Details
Related
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2026-05-28
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View Job Details
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Project Manager
2026-05-28
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