Posted:1 day ago|
Platform:
Work from Office
Full Time
Implement full training lifecycle: dataset prep, tokenization, optimizer tuning, evaluation, and deployment.
Work on custom LLM architectures, LoRA, QLoRA, and PEFT methods.
Work with Python (FastAPI), Scikit-learn, Pandas, PyTorch/TensorFlow.
Implement CI/CD, model monitoring, LLM evaluation, and quality guardrails.
Integrate data engineering & MLOps workflows for scalable model deployment.
Logical thinking, problem-solving, and real-time project experience.
Experience with RAG frameworks (LangChain, LlamaIndex).
Knowledge of cloud architectures (AWS/GCP/Azure).
Experience with vector search optimization.
Understanding of distributed training techniques.
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