AI Engineer
INR 3264K-5876K (estimate) Senior-level Full Time
Tasks
- Build MLOps pipelines for training and monitoring
- Build RAG and LLM assistants
- Coach and mentor engineers
- Create CI CD pipelines for applications and models
- Define AI architecture for support workflows
- Deploy containerized services with Docker and Kubernetes
- Design and deploy scalable backend systems
- Develop frontend components with React and Next.js
- Develop production ML services and APIs
- Implement event-driven systems
- Implement intent classification and summarization
- Implement safety privacy and governance controls
- Instrument observability and KPIs for AI features
- Integrate AI with Salesforce and portal platforms
- Lead end-to-end model lifecycle
- Manage infrastructure using Infrastructure as Code
- Prototype evaluate and deploy ML models
Perks/Benefits
Skills/Tech-stack
ARM Templates | AWS SNS | AWS SQS | Access Control | Amazon EKS | Audit trails | Aurora | Azure Blob | Azure Blob Storage | Azure DevOps | Azure Kubernetes | Azure Kubernetes Service | Bicep | Blob Storage | Cosmos DB | Cucumber | Data Pipelines | Datalakes | Deep learning | Docker | DynamoDB | Experiment design | Feature Engineering | Fine Tuning | GitHub Actions | Hibernate | JUnit | Java | JavaScript | Jenkins | Kafka | Kinesis | Kubernetes | Kubernetes Service | Language Models | Language Processing | Large Language Models | Logging | MLOps | Machine Learning | Mockito | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Next.js | Node.js | Observability | PostgreSQL | Privacy governance | Prompt engineering | Python | React | Retrieval-Augmented Generation | S3 | SQL | Selenium | Solace | Spring Boot | Terraform | TestNG | Transformers | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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