AI Engineer (Chennai)
Tasks
- Build and maintain production machine learning pipelines
- Build and maintain production monitoring systems
- Collaborate with software engineers for deployment and integration
- Create reproducible training workflows
- Detect data drift and performance degradation
- Develop model serving architectures for real time and batch inference
- Establish continuous evaluation and improvement processes
- Explain AI concepts and tradeoffs to stakeholders
- Implement MLOps experiment tracking and model versioning
- Operationalize models with Data Science teams
- Provide diagnostics and remediation for production issues
- Use evaluation frameworks to guide model improvements
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Flexible time off
- Medical insurance
- Paid Holidays
- Professional development programs
- Vision insurance
- Wellness programs
Skills/Tech-stack
Batch inference | CI/CD | CRM | Data Drift | Data Drift Detection | Data Processing | Databricks | Distributed data | Distributed data processing | Domo | Drift Detection | Experiment tracking | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model versioning | Monitoring | Object-Oriented | Object-oriented programming | Performance Monitoring | Power BI | Python | Real Time | Real-time Inference | SQL | Tableau
Education
Roles
AI | AI Engineer | Engineer
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