Senior AI Engineer
INR 2800K-4200K (estimate) Senior-level Full Time
Tasks
- Build cloud native environments for AI workloads
- Collaborate to integrate generative AI features into enterprise applications
- Conduct incident response for ML and GenAI failures
- Create reusable self service tooling for data scientists
- Deploy and operate AWS SageMaker and AWS Bedrock
- Deploy and operate Azure OpenAI and Azure ML
- Design scalable AI/ML infrastructure
- Develop CI CD workflows for model release cycles
- Embed security compliance monitoring and observability
- Implement MLOps monitoring versioning and retraining
- Implement infrastructure-as-code
- Mentor junior engineers and provide technical leadership
- Review cloud cost reports and lead cost savings
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI-Hub | AWS | AWS CDK | AWS DynamoDB | AWS IAM | AWS RDS | AWS S3 | AWS SCP | Amazon Bedrock | Amazon SageMaker | Application Insights | Audit Logging | Azure | Azure AI | Azure AI Foundry | Azure AI Hub | Azure Blob | Azure Blob Storage | Azure DevOps | Azure Key Vault | Azure ML | Azure Monitor | Azure OpenAI | Azure Policy | Azure RBAC | Bicep | Blob Storage | CI/CD | CloudFormation | Cosmos DB | DNS | Databricks | Docker | Generative AI | Grafana | Hugging Face | IAM | Infrastructure as Code | Key Vault | Kubernetes | Kubernetes clusters | LLM | Langchain | Load Balancing | Log Analytics | MLOps | Machine Learning | Networking | Observability | OpenAI | Prometheus | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Terraform | VPN | Virtual Networks | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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