Data Scientist
Bosch Group Bengaluru, Karnataka, India
Software Development · 10,001+ employees
About the role
The Data Scientist will design, develop, and deploy machine learning and generative AI solutions to address complex business problems. They will also collaborate with research teams to build end-to-end AI/NLP applications and provide actionable insights through data analysis.
What they look for
Requirements
Candidates must have 5 to 8 years of experience in data science with a strong focus on generative AI, LLMs, and NLP frameworks. A bachelor's degree or higher in a relevant field is required, along with proficiency in Python and cloud platforms.
Full description
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 technologieso Open source LLMs like Llama, Gemma, Mixtral etc
- 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·
- Hands-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
- Legal Entity: Bosch Global Software Technologies Private Limited
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