Gen AI specialist

Education and Work Experience Requirements:- 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 with GenAI technologieso 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 architectureo 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:o Python, R, Tensorflow, Keras, Pytorcho 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 plusMandatory Skills:- 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 projectAdditional Information:A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization onlyQualificationsBE,BTech, MCA,MTech