Sr. AI Engineer
Tasks
- Apply model optimization techniques
- Build RAG pipelines
- Build fine-tune deep learning models
- Collaborate cross-functional teams
- Define track evaluation metrics
- Design train evaluate ML models
- Develop generative AI solutions
- Fine-tune large language models
- Maintain reproducible code and experiment documentation
- Monitor model drift and retrain
- Productionize ML models
- Quantize models for production
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Anomaly Detection | Azure AI | Azure AI Search | BERT | CI/CD | Classification | Deep learning | Docker | Efficient Fine Tuning | Embeddings | Evaluation metrics | Faiss | Fine Tuning | GPT | GRU | Generative AI | Hugging Face | Hugging Face Transformers | INT8 | LSTM | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | MLflow | Machine Learning | Model Deployment | Model Monitoring | Model Quantization | Natural Language | Natural Language Processing | Pandas | Parameter efficient fine-tuning | Pinecone | PyTorch | Python | QLoRA | RAG | RNN | Retrieval-Augmented Generation | Scikit-learn | Series forecasting | Supervised Fine Tuning | Supervised Learning | T5 | TensorFlow | Time Series | Time Series Forecasting | Transformers | Vector Search
Education
N/A
Roles
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