Back
Mid-level ML role in Bangalore with Bosch brand and popular title increases applicant competition.
ML/LLM specialization plus cloud deployment limits transfers, making background fit moderately sensitive.
Explicit 3–5 year requirement plus ML/LLM, RAG, and cloud deployment skills enforce strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement Retrieval-Augmented Generation (RAG) pipelines to develop intelligent AI/ML solutions.
Fine-tune and optimize machine learning and large language models for specific domain applications.
Deploy, scale, and integrate AI models into cloud-based software tools and workflows ensuring data quality and effective feature engineering.
Bachelor's degree in Engineering or Technology (BE, B.Tech).
3 to 5 years of professional experience in AI/ML development.
Experience with ML/LLM model fine-tuning, feature engineering, and data preprocessing.
Hands-on experience deploying AI solutions on cloud platforms such as Azure or Google Cloud Platform.
Experienced in building scalable AI/ML pipelines including RAG architectures for enterprise use.
Skilled in integrating AI models into production-level software and workflows.
Comfortable working with cloud infrastructure and managing end-to-end AI solution deployment.