AI/ML Associate Engineer
Tasks
- Build and maintain RAG pipelines and prompt management
- Build and maintain backend services APIs and integrations for AI ML use cases
- Design and develop production software supporting AI ML solutions
- Follow security data handling and governance standards for AI systems
- Implement AI enabled features using ML and LLM techniques
- Implement embeddings vector stores and caching strategies
- Instrument solutions for monitoring quality drift bias performance and cost
- Perform model integration experimentation evaluation deployment monitoring and iteration
- Write unit tests integration tests and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Azure | Bias detection | C# | CI/CD | Caching | CoPilot Agents | Data Drift | Docker | Embeddings | GRPC | Integration Testing | Java | Kubeflow | Kubernetes | LLM | Language Models | Large Language Models | MLflow | Machine Learning | Microsoft 365 | Microsoft 365 Copilot | Microsoft Graph | Model Registry | Monitoring | Pandas | Performance optimization | Prompt engineering | PyTorch | Python | RAG | REST | Scikit-learn | Spark | TensorFlow | Unit Testing | Vector Databases | Vector Store | Version control | XGBoost
Education
N/A
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