Senior AI Engineer (ML / Deep Learning / GenAI)
Tasks
- Build production GenAI applications with RAG and agent workflows
- Define and enforce model lifecycle management versioning and retraining
- Deploy AI services for real time and batch inference
- Design build and deploy end to end AI solutions
- Design multi tenant AI solutions with governance and reliability
- Develop scalable pipelines for training evaluation deployment and retraining
- Implement model observability for performance drift and data quality
- Integrate AI systems into CI/CD pipelines
Perks/Benefits
- Career growth opportunities
- Inclusive workplace
- Medical insurance
- Paid Maternity Leave
- Paid leave
- Personal accident insurance
- Referral bonus
Skills/Tech-stack
Apache Airflow | App Service | Azure App | Azure App Service | Azure Container | Azure Container Apps | Azure Data | Azure Data Factory | Azure ML | CI/CD | Container Apps | Data Factory | Data Quality | Data quality monitoring | Deep learning | Docker | Drift Detection | Generative AI | MLOps | MLflow | Machine Learning | Model Monitoring | PyTorch | Python | Quality monitoring | Retrieval-Augmented Generation | TensorFlow
Education
N/A
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