Senior LLM Engineer
What You Can Expect from Us :
Here at NomiSo we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas a student of innovation and a leader of thought. Innovation and thought leadership is at the center of everything we do at all levels of the company. Lets make your career great!
Position Overview :
We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models including GPT BERT T5 RoBERTa and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks as well as crafting and optimizing prompts for natural language processing tasks such as text generation summarization question answering classification and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face SpaCy and NLTK with a solid understanding of model evaluation metrics.
Roles and Responsibilities :
- Model Expertise : Work with transformer models such as GPT BERT T5 RoBERTa and others for a variety of NLP tasks including text generation summarization classification and translation.
- Model Fine-Tuning : Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization text generation and question answering.
- Prompt Engineering : Craft clear concise and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. Iterate on prompts to optimize model performance.
- Instruction-Based Prompting : Implement instruction-based prompting to guide the model toward achieving specific goals ensuring that the outputs are contextually accurate and aligned with task objectives.
- Zero-shot Few-shot Many-shot Learning : Utilize zero-shot few-shot and many-shot learning techniques to improve model performance without the need for full retraining.
- Chain-of-Thought (CoT) Prompting : Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks ensuring that the outputs are logically structured and provide step-by-step explanations.
- Model Evaluation : Use evaluation metrics such as BLEU ROUGE and other relevant metrics to assess and improve the performance of models for various NLP tasks.
- Model Deployment : Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications.
- Bias Awareness : Be aware of and mitigate issues related to bias hallucinations and knowledge cutoffs in LLMs ensuring high-quality and reliable outputs.
- Collaboration : Collaborate with cross-functional teams including engineers data scientists and product managers to deliver efficient and scalable NLP solutions.
Must Have Skill
Overall 7 years with at least 2 years of experience working with transformer-based models and NLP tasks with a focus on text generation summarization question answering classification and similar tasks.Relevant 4 Years Expertise in transformer models like GPT (Generative Pre-trained Transformer) BERT (Bidirectional Encoder Representations from Transformers) T5 (Text-to-Text Transfer Transformer) RoBERTa and similar models.Familiarity with model architectures attention mechanisms and self-attention layers that enable LLMs to generate human-like text.Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation summarization question answering classification and translation .Familiarity with concepts like attention mechanisms context windows tokenization and embedding layers .Awareness of biases hallucinations and knowledge cutoffs that can affect LLM performance and output quality.Expertise in crafting clear concise and contextually relevant prompts to guide LLMs towards generating desired outputs.Experience in instruction-based promptingUse of zero-shot few-shot and many-shot learning techniques for maximizing model performance without retraining.Experience in iterating on prompts to refine outputs test model performance and ensure consistent results.Crafting prompt templates for repetitive tasks ensuring prompts are adaptable to different contexts and inputs.Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns.Proficiency in Python and experience with NLP libraries (e.g. Hugging Face SpaCy NLTK).Experience with transformer-based models (e.g. GPT BERT T5) for text generation tasks.Experience in training fine-tuning and deploying machine learning models in an NLP context.Understanding of model evaluation metrics (e.g. BLEU ROUGE)Qualification :
BE / or Equivalent degree in Computer Science or related field.Excellent communication skills in English both verbal and writtenLocation : Hyderabad
Website : Nomiso :
Nomiso is a product and services engineering company. We are a team of Software Engineers Architects Managers and Cloud Experts with expertise in Technology and Delivery Management.
Our mission is to Empower and Enhance the lives of our customers through efficient solutions for their complex business problems.
At Nomiso we encourage entrepreneurial spirit - to learn grow and improve. A great workplace thrives on ideas and opportunities. That is a part of our DNA. Were in pursuit of colleagues who share similar passions are nimble and thrive when challenged. We offer a positive stimulating and fun environment with opportunities to grow a fast-paced approach to innovation and a place where your views are valued and encouraged.
We invite you to push your boundaries and join us in fulfilling your career aspirations!
We are an equal opportunity employer and are committed to diversity equity and inclusion. We do not discriminate on race religion color national origin gender sexual orientation age marital status veteran status disability status or any other protected characteristics.
Required Experience :
Senior IC
Key Skills
APIs,C / C++,Computer Graphics,Go,React,Redux,Node.js,AWS,Library Services,Assembly,GraphQL,High Voltage
Employment Type : Full Time
Experience : years
Vacancy : 1