Software Engineer - AI/ML
Tasks
- Build and maintain CI/CD pipelines
- Build and train AI models
- Collaborate to optimize low latency inference
- Fine-tune transformer models
- Implement AI methods from research and open source
- Manage model lifecycle for training evaluation and deployment
- Optimize models with quantization or efficient attention
- Preprocess data for generative AI
- Train multimodal models
- Write testable Python code
Perks/Benefits
Skills/Tech-stack
BERT | Byte Pair Encoding | CI/CD | Classification | Cross Entropy | Curriculum learning | Data Preprocessing | Deep learning | Distributed Training | Docker | FP16 | GPT | GPU | Git | Gradient descent | HuggingFace Transformers | Language Modeling | Layer Normalization | Linear Algebra | Masked language modeling | Mixed Precision | ONNX | ONNX Runtime | Pruning | PyTorch | Python | Quantization | RAG | Regression | Retrieval-Augmented Generation | Self-Attention | SentencePiece | Supervised Learning | TensorFlow | Tokenization | Top K | Top P | Transformers | Unsupervised Learning
Education
N/A
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