AI Applications Developer
Tasks
- Build backend services and APIs for AI
- Collaborate with product design data science and security teams
- Design AI-powered features and applications
- Develop data pipelines and feature stores
- Evaluate models for performance fairness and bias
- Implement MLOps CI/CD and containerization
- Integrate ai models with frontend products
- Manage incident response and reliability targets
- Monitor applications with logging metrics tracing and alerts
- Write and maintain clean, well-documented code
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Airflow | Azure | B testing | Bias Mitigation | CCPA | CI/CD | Data Privacy | Django | Docker | ELK Stack | ETL | Embeddings | Explainability | Express | FastAPI | Feature Store | Flask | GCP | GDPR | GRPC | Grafana | Integration Testing | JavaScript | Kubeflow | Kubernetes | LLM | ML pipelines | MLflow | Model Monitoring | MongoDB | Node.js | NumPy | OpenAI API | Pandas | Pinecone | PostgreSQL | Prometheus | PyTorch | Python | REST | Redis | Retrieval-Augmented Generation | SQL | TensorFlow | TypeScript | Unit Testing | Vector Database | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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