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 22,700 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
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
Qualifications
BE,BTech,MS, MTech or MCA
Additional Information
5-8 years
