Lead AI Engineer
Tasks
- Architect scalable AI and generative AI solutions
- Build retrieval-augmented generation pipelines
- Define evaluation frameworks
- Design develop deploy machine learning models
- Fine tune adapt large language models
- Implement CI CD pipelines for AI systems
- Maintain reproducible code and experiment tracking
- Mentor AI engineers
- Monitor model performance and model drift
- Optimize models for efficient inference
- Productionize AI solutions with scalable infrastructure
- Train fine tune deep learning models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | Airflow | Azure AI | Azure AI Search | BERT | CI/CD | Docker | Efficient Fine Tuning | Embeddings | Faiss | Fine Tuning | GPT | GRU | Hugging Face | Hugging Face Transformers | Kubeflow | LSTM | Langchain | Llamaindex | LoRA | MLOps | MLflow | Pandas | Parameter efficient fine-tuning | Pinecone | Pruning | PyTorch | Python | QLoRA | Quantization | RAG | RNN | Retrieval-Augmented Generation | Scikit-learn | Spark | Supervised Fine Tuning | T5 | TensorFlow | Transformer | Vector Databases
Education
N/A
Roles
AI Engineer | Data Scientist | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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