Data Scientist

Job Summary

Required Qualifications

• •5 to 8 years of experience as Data Scientist or GenAI specialist
• •2 to 3 years of experience in Generative AI solution development
• •Proven track record and experience 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 Python
• •Expertise with R
• •Expertise with Tensorflow
• •Expertise with Keras
• •Expertise with 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
• •Prior experience working on Mobility or Healthcare domain will be a plus
• •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
• •BE,BTech,MCA or PHD
• •5-8 years

Desired Qualifications

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