2 ساعت پیش | کد آگهی: 10530946
دستهبندی شغلی
موقعیت مکانی
تحصیلات
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محل فعالیت
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مزایا
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مهارت ها و زبان ها
نوع همکاری
سایر اطلاعات
About Position We are looking for a highly skilled NLP LLM Engineer to join our team and work on cutting edge large language model LLM applications The ideal candidate will have hands on experience in prompt engineering LLM training and fine tuning and model chatbot evaluation You should be able to leverage state of the art knowledge and recent research in NLP LLMs to build and optimise intelligent conversational agents while also developing scalable pipelines for model evaluation Responsibilities Prompt Engineering Design optimise and evaluate prompts for various NLP LLM use cases Apply advanced prompting techniques such as self consistency chain of thought CoT few shot zero shot retrieval augmented prompting etc Develop systematic prompt evaluation frameworks and automate prompt optimisation using both open source and API based models Experiment with guardrails role based prompting and output formatting to ensure reliability and safety in chatbot responses Model Training Fine Tuning Develop and train LLMs using PyTorch Hugging Face Unsloth and vLLM Implement multi GPU distributed training with DeepSpeed FSDP or Accelerate Fine tune models with Supervised Fine Tuning SFT and Reinforcement Learning PPO DPO GRPO etc Apply parameter efficient fine tuning PEFT methods LoRA QLoRA IA3 etc for efficiency Familiarity with mixed precision FlashAttention quantisation gradient checkpointing optimiser sharding ZeRO and other advanced training techniques Build and maintain data preprocessing pipelines for large scale NLP training datasets Track and document model training experiments for reproducibility e g using Weights Biases or MLflow Model Chatbot Evaluation Develop evaluation pipelines for both general LLMs and RAG based chatbots Apply automatic evaluation metrics such as BLEU ROUGE METEOR BERTScore perplexity etc Use LLM as a judge methods both open source and closed source via APIs for qualitative evaluation Design user simulation frameworks for stress testing chatbots in real world scenarios Build modular and scalable evaluation pipelines to benchmark model accuracy robustness safety and latency Software Engineering Practices Use Git for version control branching workflows and collaborative development Optional but preferred Experience with modern software engineering tools and practices including Docker CI CD pipelines and Kubernetes Requirements Strong background in Natural Language Processing NLP and Large Language Models LLMs Proven experience in prompt engineering with real world applications Hands on experience in training and fine tuning large models using Hugging Face PyTorch and distributed training setups Practical knowledge of applying PEFT methods SFT and RLHF RLVR on LLMs Experience in designing evaluation frameworks for LLMs and chatbots Proficiency with Git for collaborative development Strong problem solving skills ability to work reliably and encouragement to collaborate in a team environment Preferred Familiarity with Docker CI CD pipelines and Kubernetes What We Offer A dynamic fast paced environment where your ideas directly impact real world products A collaborative team culture that values innovation technical excellence and continuous learning The chance to help shape the future at MCINEXT تهران تهران ولنجک تمام وقت گروه MCI NEXT کارشناس جنسیت تفاوتی ندارد اینترنت تجارت الکترونیک خدمات آنلاین
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