Gen AI Specialist

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Roles & Responsibilities :
Design develop test and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models.

Strong understanding of LLMs and associated technologies like RAG Agents VectorDB and Guardrails

Hand-on experience in GenAI frameworks like LlamaIndex Langchain Autogen etc.

Experience in cloud services like Azure GCP and AWS

Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI document understanding and QnA.

Mine and analyze data applying statistical methods as necessary pertaining to customers discovery and viewing experiences to identify critical product insights.

Proactively develop new metrics and studies to quantify the value of different aspects of product.

Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication education and data visualization.

Translate analytic insights into concrete actionable recommendations for business or product improvement.

Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams.

Define and deploy best practices in Machine Learning & MLOps/LLMOps mentor and teach colleagues.

Partner closely with product and engineering leaders throughout the lifecycle of project

Education and Work Experience Requirements:

5 to 8 years of experience as Data Scientist

2 to 3 years of experience in Generative AI solution development

Proven track record and experience with with GenAI technologies

Open source LLMs like Llama Gemma Mixtral etc

Closed source LLMs such as Open AI GPT Azure Open AI Claude Gemini etc

Prompt Engineering/Tuning RAG RAFT LLM finetuning such as PEFT(LoRA QLoRA ..)

Understanding of SLMs such as Phi3 BERT and Transformer architecture

Vector databases like Pincone Qdrant etc.

Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model

Expertise with the following scripting languages:

Python R Tensorflow Keras Pytorch

OpenNLP CoreNLP WordNet NLTK SpaCy Gensim Large Language Models Knowledge Graphs

Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks.

Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition entity extraction language modeling text classification question answering text summarization topic modeling and so on.

Experience building and fine-tuning Language Models (LMs) such as BERT ELMo XLNet etc to solve bespoke NLP tasks.

Tech savy and willing to work with open-Source Tools

Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently.

Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development.

Strong interpersonal and communication skills: ability to tell a clear concise actionable story with data to folks across various levels of the company.

Good to have foundational knowledge on Cloud API frameworks like Flask Fast API Swagger/Postman tools

Prior experience working on Mobility or Healthcare domain will be a plus

Qualifications :

Educational qualification:

A Masters or PhD is preferred (Computer Science / Machine Learning/ Mechanical etc) If Bachelors Machine Learning or Computer Science specialization only

Experience :

5 to 8 years of experience as Data Scientist

2 to 3 years of experience in Generative AI solution development

Mandatory/requires Skills :
Open source LLMs like Llama Gemma Mixtral etc

Closed source LLMs such as Open AI GPT Azure Open AI Claude Gemini etc

Prompt Engineering/Tuning RAG RAFT LLM finetuning such as PEFT(LoRA QLoRA ..)

Understanding of SLMs such as Phi3 BERT and Transformer architecture

Vector databases like Pincone Qdrant etc.

Preferred Skills :
Python R Tensorflow Keras Pytorch

OpenNLP CoreNLP WordNet NLTK SpaCy Gensim Large Language Models Knowledge Graphs

Remote Work :

Employment Type :

Full-time

Roles & Responsibilities : Design develop test and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs and associated technologies like RAG Agents VectorDB and Guardrails Hand-on experience in GenAI f...