Data Scientist

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 • BE,BTech,MCA or PHD • 5-8 years Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.