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Mid-level AI role in Bangalore with popular title and broad LLM/MLOps requirements increases competition.
Core ML/LLM and MLOps skills are transferable, though manufacturing domain knowledge is advantageous.
Explicit 6+ years and mandatory Generative AI/LLM/MLOps skills make filters highly strict.
Design, develop, and deploy machine learning and Generative AI solutions addressing complex business challenges across enterprise processes.
Collaborate with business stakeholders and technical teams to identify AI opportunities, build scalable models, and support AI lifecycle management.
Drive digital innovation using emerging AI technologies and contribute to enterprise AI strategy and best practices.
6+ years of experience in data science with strong AI and machine learning expertise.
Advanced skills in Python, SQL, and familiarity with Generative AI, Large Language Models, RAG architectures, and model deployment.
Experience in cloud platforms such as Microsoft Azure; AWS or Google Cloud is advantageous.
Work Experience Required: 6+ years (explicitly mentioned)
Demonstrated capability to deliver end-to-end AI/ML solutions in production environments, including Generative AI applications.
Strong business acumen with experience linking AI initiatives to operational and financial outcomes in industrial or manufacturing contexts.
Effective collaborator and communicator able to engage with business leadership and mentor junior staff.