AI/ML & Forward Deployed Engineer
Tasks
- Build and optimize ML models
- Build scalable AI services
- Containerize and orchestrate AI applications
- Deploy AI solutions
- Design and develop AI solutions
- Develop MLOps and LLMOps pipelines
- Develop genai applications
- Ensure AI governance security and encryption
- Implement AI evaluation frameworks
- Implement model monitoring and drift detection
- Implement role-based access control
- Integrate CI/CD pipelines
- Support production operations and troubleshooting
Perks/Benefits
Skills/Tech-stack
Access Control | Anomaly Detection | Artificial Intelligence | Audit Logging | CI/CD | Classification | Data Governance | Data Quality | Deep learning | Docker | Drift Detection | Embeddings | Encryption | Event Driven | Event-driven architecture | Forecasting | GRPC | Information Retrieval | Kubernetes | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Prompt engineering | Python | REST APIs | Regression | Reranking | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Security
Education
N/A
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