Senior Expert â Generative AI (GenAI)
Senior Expert â Generative AI (GenAI)
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Job Description
We are seeking a Senior Expert Generative AI (GenAI) to join Boschs central AI research group at CR/RTC-IN. This role focuses on foundational AI research in Large Language Models (LLMs) Agentic AI and Multimodal Systems. You will contribute to Boschs long-term AI strategy through scientific publications prototype systems and collaborations with academic and industrial leaders.
As part of the Corporate Research division this role is in applied research. The focus is on differentiating innovations in GenAI technologies scalable model architectures and strategic IP generation aligned with Boschs future tech roadmap.
Roles & Responsibilities:
Conduct independent research in:
Large-scale generative models (LLMs diffusion models)
Agentic AI systems (multi-agent reasoning self-organizing agents)
Multimodal models (vision-language time-series transformers)
Model compression low-latency inference and scaling laws
Evaluation and understanding of AI models and agent capabilities
Identify problems/gaps in applying existing technologies to Bosch specific use cases and engage stakeholders and leaders to address them.
Initiate and lead research to develop technologies that drive greater efficiency in GenAI for both specialized and generalized applications.
Lead experimentation on Boschs on-prem HPC clusters and cloud-based GenAI stacks.
Publish in top-tier conferences (NeurIPS ICLR ACL EMNLP ICML CVPR).
Mentor early-career researchers interns and cross-functional colleagues.
Contribute to the design and evaluation of Bosch-internal LLM frameworks and AI agents.
File strategic patents aligned with corporate research themes.
Evaluate new paradigms like retrieval-augmented generation (RAG) memory-augmented agents and SLM-based deployments.
Qualifications :
Educational qualification:
Ph.D. in Computer Science / Machine Learning / AI or equivalent
Experience:
8 years in GenAI/LLM/AI Research
Mandatory/requires Skills:
Deep expertise in GenAI
Open-source and proprietary LLMs (LLaMA Gemma GPT Claude Mistral)
Prompt engineering LoRA QLoRA PEFT RAG
Agentic frameworks: AutoGen LangChain LangGraph CrewAI
Transformers Reinforcement Learning Mixture of Experts (MoE)
Research mindset with hands-on skills in PyTorch HuggingFace Python
Experience in high-scale distributed training and evaluation
Proven publication record (NeurIPS ICML ACL etc.)
Understanding of safety explainability and evaluation in GenAI
Familiarity with vector databases (Qdrant Pinecone) and knowledge graphs
Preferred Skills:
Understanding of SLMs (Phi-3 BERT) efficient fine-tuning and neural compression
Strategic thinking around GenAI lifecycle LLMOps and HMI integration
Basic exposure to Bosch application domains (mobility manufacturing IoT)
Strong interpersonal and collaboration skills with global teams
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
