Senior LLM Engineer

Senior LLM Engineer

About Company :

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. We’re 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!

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. Let’s 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 (decoder) models

like

GPT (Generative Pre-trained Transformer) ,

Claude based models , and similar models, for generative tasks.

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, zero-shot ,

few-shot ,

Chain-of-though

and ReACT

prompting

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.

Proficiency in Python and experience with NLP libraries (e.g., Hugging Face, SpaCy, NLTK).

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 / B.Tech or Equivalent degree in Computer Science or related field.

Excellent communication skills in English, both verbal and written

Location :

Hyderabad / Bangalore

Website :

https : / / www.nomiso.io /