Gen AI Specialist

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Pune, Maharashtra
Internship
Internet of Things
The Role

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

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 projectAdditional 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 to 8 years of experience as Data Scientist or GenAI specialist

The Company
HQ: Gerlingen-Schillerhöhe
166,834 Employees
Remote Workplace
Year Founded: 1886

What We Do

The Bosch Group is a leading global supplier of technology and services. It employs roughly 402,600 associates worldwide (as of December 31, 2021). The company generated sales of 78.7 billion euros in 2021. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology.

As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a single source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.”

The Bosch Group comprises Robert Bosch GmbH and its roughly 440 subsidiary and regional companies in some 60 countries. Including sales and service partners, Bosch’s global manufacturing, engineering, and sales network covers nearly every country in the world. With its more than 400 locations worldwide, the Bosch Group has been carbon neutral since the first quarter of 2020. The basis for the company’s future growth is its innovative strength. At 128 locations across the globe, Bosch employs some 76,100 associates in research and development, of which more than 38,000 are software engineers.

Instagram: https://www.instagram.com/boschglobal/
Facebook: https://www.facebook.com/BoschGlobal
Twitter: https://www.twitter.com/BoschGlobal
Glassdoor: https://bit.ly/3raTZnH

Imprint: www.bosch.com/corporate-information
Privacy statement: www.bosch.com/data-protection-notice

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