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 technologies
• Open source LLMs like Llama, Gemma, Mixtral etco Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etco 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, 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
• Mandatory 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 project

Additional 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 only