Senior Engineer, Machine Learning Ops (India)
Bengaluru, Karnataka, India
INR 3700K-5400K (estimate) Senior-level Full Time
Tasks
- Build and optimize ETL/ELT pipelines
- Build maintain infrastructure for LLM agent systems models and data pipelines
- Collaborate with AI ML engineers data scientists and software engineers
- Deploy and operate ML AI workloads on major cloud platforms
- Design and maintain CI/CD pipelines
- Design and manage cloud databases data warehouses and storage
- Design deploy manage scalable AI ML infrastructure for production
- Develop and maintain containerized applications
- Ensure security governance and operational best practices
- Implement infrastructure-as-code using Terraform
- Implement monitoring logging alerting and performance optimization
- Manage event driven architectures with messaging platforms
- Optimize infrastructure for reliability scalability latency and cost efficiency
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Alerting | Azure | Azure Container | Azure Container Apps | CI/CD | Cloud Engineering | Cloud Run | Container Apps | Data Warehousing | Databases | DevOps | Docker | ECS Fargate | ELT | ETL | GCP | Infrastructure as Code | Kafka | Learning operations | Logging | Machine Learning | Machine Learning Model | Machine Learning Model Serving | Machine Learning Operations | Microservices | Model Serving | Monitoring | PubSub | Python | SNS | SQS | Serverless | Terraform | TypeScript | Vector Databases | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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