Data Scientist

Company Description

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.

Job Description

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 technologies
• Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etcPrompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)
• 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.
• 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

Qualifications

• BE,BTech,MCA or PHD

Additional Information

• 5-8 years