Ai Ml
Tasks
- Build AI agents for multi step reasoning
- Conduct code reviews
- Deploy machine learning models
- Design machine learning models
- Develop REST services for model inference
- Develop retrieval-augmented generation systems
- Fine-tune large language models
- Implement MLOps for production deployments
- Integrate tool use with AI agents
- Manage model versioning
- Mentor junior engineers on AI best practices
- Monitor model performance
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Anomaly Detection | Attention Mechanisms | AutoGPT | Azure | Azure AI | BERT | CNN | CrewAI | DBSCAN | Decision Trees | FastAPI | Fine Tuning | Flask | GCP | GPT | Haystack | K-Means | LSTM | Langchain | Llamaindex | MLOps | Microsoft Autogen | Milvus | NLP | Neural Networks | NumPy | Pandas | Pinecone | PyTorch | Python | RAG | REST | RNN | Random Forests | Regression | SVM | Scikit-learn | TensorFlow | Transformers | Vertex AI | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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