AI Engineer (Gen AI)

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.

Roles & Responsibilities:

• Conduct applied research activities focused on Natural Language Processing, Text Analytics, and Deep Learning.

• Develop and fine-tune Large Language Models (LLMs) for various NLP tasks.

• Explore and implement Domain Adaptation techniques to enhance model performance in specific areas.

• Work on Retrieval-Augmented Generation (RAG) models and methodologies.

• Collaborate with cross-functional teams to integrate research outcomes into products and services.

• Publish research findings in Top-tier conferences and journals.

• Stay updated with the latest advancements in NLP, Deep Learning, and related fields.

Educational qualification:

Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.

Experience:

Overall 3 + years or experience & 2+ years in NLP/Deep Learning

Mandatory/requires Skills :

• Strong knowledge and experience in Machine Learning, Deep Learning, Text Analytics and NLP.

• Proven track record of research and development in NLP and Deep Learning, evidenced by publications, projects, or contributions to open-source communities.

• Interest and aptitude for research activities, with the ability to work independently as well as part of a collaborative team.

• Strong programming skills in Python, and experience with deep learning frameworks like PyTorch.

• Familiarity with cloud platforms like Azure for large-scale data processing and model training is a plus.

Preferred Skills:

• Understanding of ICL/Fine-tuning Large Language Models (LLMs) such as Mistral, Llama-2, Gemma.

• Knowledge of Domain Adaptation techniques and their practical applications.

• Experience with practical and scalable applications of Retrieval-Augmented Generation (RAG) and related methodologies.

• Excellent problem-solving skills and the ability to work in a fast-paced environment.

• Strong communication skills and the ability to convey complex ideas effectively.

We are seeking a highly skilled and motivated Applied Researcher with a strong background in Natural Language Processing (NLP), Text Analytics, and Deep Learning. The successful candidate will join our team and contribute to cutting-edge research and development in the field of Generative AI.