Job Description 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
- Understand business problems and translate them into AI/ML solutions.
- Perform data collection, preprocessing, feature engineering, and exploratory data analysis.
- Build statistical models to identify trends, correlations, and business insights.
- Develop supervised and unsupervised machine learning models.
- Design and optimize deep learning architectures for Computer Vision and NLP tasks.
- 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 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