Software Engineering SMTS/ LMTS - LLM Model building
Tasks
- Build synthetic data pipelines
- Conduct failure analysis
- Develop RLHF and RLAIF workflows
- Develop experimentation pipelines
- Execute model training and fine tuning
- Mentor junior team members
- Optimize inference for latency and throughput
- Perform error analysis and iteration
- Run model evaluation and benchmarking
- Support deployment readiness for LLM services
Perks/Benefits
- N/A
Skills/Tech-stack
AI Safety | Accelerate | Data Quality | DeepSpeed | Distillation | Distributed Training | Experiment tracking | FSDP | Fine Tuning | Guardrails | Hugging Face | Human-in-the-loop | Inference Optimization | Kubernetes | Language Models | Large Language Models | Model Evaluation | NumPy | PEFT | Pandas | Preference Learning | PyTorch | Python | Quantization | RLAIF | RLHF | Ray | Reinforcement Learning | Retrieval-Augmented Generation | TensorFlow | The Loop | Transformers | VLLM
Education
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