Snr AI
Tasks
- Build RAG pipelines
- Build data pipelines for training validation inference
- Collaborate with product engineering and domain teams
- Conduct PoCs and demos
- Design, build, deploy machine learning models
- Develop RAG architectures with vector databases
- Develop generative AI solutions
- Develop scalable AI microservices
- Implement MLOps CI CD for ML models
- Integrate AI systems with enterprise APIs and applications
- Manage model lifecycle logging and observability
- Monitor model performance and drift
- Perform feature engineering and vectorization
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Amazon SageMaker | Azure | Azure AI | Azure AI Search | Azure Machine Learning | CI/CD | Chroma | Databricks | Deep learning | Docker | Faiss | GCP | Kubeflow | Kubernetes | LLMs | MLflow | Machine Learning | NLP | NumPy | Pandas | Pinecone | PyTorch | Python | REST APIs | Serverless computing | TensorFlow | Transformers | Vector embeddings
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