Senior AI & Generative AI Specialist

About the role

We are looking for a Senior AI & Generative AI Specialist to design, build, and scale production‑grade AI and GenAI solutions for Bosch. The role covers the full AI lifecycle, from problem definition and model design to deployment, monitoring, governance, and business impact.

Key responsibilities

• Design and architect enterprise‑scale AI and Generative AI systems, including LLM‑based applications, Retrieval‑Augmented Generation (RAG) pipelines, fine‑tuned models and multimodal AI solutions.
• Lead the development of AI platforms and frameworks that enable reusable, scalable AI‑as‑a‑Service offerings.
• Define model selection, fine‑tuning strategies and inference‑optimization approaches.
• Develop and deploy advanced ML/DL models for computer vision (segmentation, detection, classification), NLP (BERT, GPT, Transformers), generative AI (diffusion models, GANs, multimodal systems), and time‑series forecasting, predictive analytics and anomaly detection.
• Drive model optimization, hyper‑parameter tuning, performance benchmarking and ensure model explainability, fairness, bias detection and mitigation.
• Build GenAI applications and agents such as intelligent document processing, automated report generation and smart ticketing solutions.

Required profile

• Deep hands‑on expertise in AI, Generative AI and large language models.
• Strong system‑architecture skills and experience delivering production‑grade AI services.
• Proven ability to lead cross‑functional teams and ensure responsible AI compliance.
• Senior‑level experience in machine learning, deep learning and AI platform development.

Required skills

• Large Language Models (LLM)
• Retrieval‑Augmented Generation (RAG)
• Model fine‑tuning and inference optimization
• Computer Vision (segmentation, detection, classification)
• Natural Language Processing (BERT, GPT, Transformers)
• Diffusion models and Generative Adversarial Networks (GANs)
• Multimodal AI systems
• Time‑series forecasting, predictive analytics, anomaly detection
• Model explainability, fairness assessment and bias mitigation