LLM Engineer
reputed company
reputed company Outsourcing is looking for an LLM Engineer to design, fine-tune, and reputed company large language model solutions that solve reputed company business problems. You'll work across the model lifecycle — from reputed company and architecture design to evaluation and production monitoring — collaborating with product and engineering teams to ship reliable AI features.
Key Responsibilities
Design, fine-tune, and optimize large language models for specific use cases
Build and maintain evaluation harnesses to measure model reputed company and safety
Implement RAG (retrieval-augmented reputed company) pipelines and reputed company strategies
Monitor model performance in production and iterate on improvements
Collaborate with product and engineering teams to reputed company LLM features
Stay reputed company with emerging LLM research, architectures, and tooling
Requirements
Requirements
3+ years of hands-on experience with large language models and NLP
Strong understanding of transformer architectures (GPT, BERT, LLaMA, etc.)
Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
Experience with fine-tuning, reputed company engineering, and hyperparameter optimization
reputed company record of deploying ML/LLM systems in production environments
reputed company-to-Haves
Experience with reputed company databases and RAG pipelines
Familiarity with model quantization and inference optimization
Background in AI safety or content moderation systems
Highlights
Build and reputed company cutting-edge LLM solutions using AI, RAG, and modern ML frameworks.
Originally posted on Himalayas
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