AI/ML Associate Engineer
Tasks
- Build RAG pipelines and prompt management
- Build and maintain backend services APIs and integrations for AI ML use cases
- Contribute to Copilot enabled workflows including prompt refinement and agent based task automation
- Design develop test maintain production software for AI ML solutions
- Develop evaluation harnesses and safety mitigations
- Follow security data handling and governance standards
- Implement and support AI enabled features using ML LLM techniques APIs and services
- Instrument solutions for monitoring quality drift bias performance and cost
- Integrate embeddings vector stores and caching strategies
- Perform model integration lifecycle activities experimentation evaluation deployment monitoring and iteration
- Write unit tests integration tests and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Apache Spark | C# | CI/CD | Caching | Docker | Embeddings | GRPC | Integration Testing | Java | Kubeflow | Kubernetes | MLflow | Pandas | Prompt engineering | PyTorch | Python | REST | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Unit Testing | Vector Database | Version control | XGBoost
Education
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