Gen AI Specialist

2 Months ago • 5-8 Years • Research Development

Job Summary

Job Description

Bosch Global Software Technologies Private Limited is seeking a Gen AI Specialist with 5 to 8 years of experience, including 2 to 3 years in Generative AI solution development. The role involves designing, developing, testing, and deploying Machine Learning models, with a strong focus on language models. Responsibilities include working with open and closed-source LLMs, prompt engineering, RAG, RAFT, and LLM fine-tuning. The specialist will leverage knowledge of statistical methods and experience with text data using transformer-based models, Python, R, Tensorflow, Keras, and Pytorch. Experience with NLP algorithms, building and fine-tuning Language Models, and leading projects independently is required. Strong communication skills and the ability to translate insights into actionable recommendations are essential. Experience with Cloud services (Azure, GCP, AWS) and GenAI frameworks like LlamaIndex, Langchain, and Autogen is mandatory. The role also involves interacting with research teams, mining and analyzing data, developing new metrics, and defining best practices in ML and MLOps/LLMOps.
Must have:
  • 5-8 years experience as Data Scientist or GenAI specialist
  • 2-3 years experience in Generative AI solution development
  • Proven track record with GenAI technologies
  • Experience with LLMs (open and closed source)
  • Expertise in Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning
  • Good knowledge of advanced statistical methods
  • Experience working with Text Data using transformer-based models
  • Expertise with Python, R, Tensorflow, Keras, Pytorch
  • Knowledge of NLP algorithms
  • Experience building and fine-tuning Language Models
  • Ability to lead projects independently
  • Strong interpersonal and communication skills
  • Design, develop, test, deploy ML models
  • Strong understanding of LLMs and associated technologies
  • Hands-on experience in GenAI frameworks
  • Experience in cloud services (Azure, GCP, AWS)
Good to have:
  • Foundational knowledge on Cloud
  • Experience with API frameworks like Flask, Fast API
  • Experience with Swagger/Postman tools
  • Prior experience in Mobility or Healthcare domain
  • Master's or PhD in Computer Science/Machine Learning

Job Details

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 28,200+ 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 technologieso Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA ..)o 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 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

A Master’s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc)

Additional Information

5- 8 years

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