AI Engineer
Tasks
- Build optimize machine learning pipelines
- Collaborate with data scientists software engineers product managers and stakeholders
- Design develop test deploy AI ML models and applications
- Develop APIs and microservices for AI integration
- Develop generative AI solutions with large language models
- Extract insights from structured and unstructured datasets
- Fine-tune foundation models
- Implement Retrieval-Augmented Generation architectures
- Monitor model performance for scalability reliability security
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Amazon Web Services | Azure | Azure OpenAI | Azure OpenAI Service | CI/CD | ChromaDB | Deep learning | Docker | Faiss | Generative AI | Google Cloud | Google Vertex | Google Vertex AI | Kubeflow | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | Neural Networks | OpenAI Service | Pinecone | PyTorch | Python | RAG | REST APIs | Retrieval-Augmented Generation | SageMaker | Scikit-learn | Semantic Kernel | TensorFlow | Vector Databases | Vertex AI | Weaviate | Web Services
Education
Roles
AI | AI Data Engineer | AI Engineer | Data Engineer | Engineer
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