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Strong global brand, metro Bangalore location, and mid-level generalist AI role increase applicant competition.
Core ML, LLM and MLOps skills are widely transferable across industries.
Explicit 2–5 years requirement plus mandatory ML/LLM and MLOps skills make filters strict.
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Design, develop, deploy, and optimize machine learning and AI models including Generative AI applications using Large Language Models (LLMs).
Develop AI-powered solutions such as chatbots, copilots, recommendation systems, and intelligent automation tools, ensuring integration with enterprise applications, APIs, and cloud platforms.
Implement MLOps practices for model deployment, monitoring, versioning, lifecycle management, and ensure adherence to security, privacy, and ethical AI guidelines.
2-5 years of experience in AI/ML engineering or related roles.
Proficiency in Python and experience with building Generative AI applications using Large Language Models (LLMs).
Experience with AI model fine-tuning, evaluation, deployment, and MLOps practices.
Location: Bangalore, Karnātaka, India (IN-KA).
Experienced in cross-functional collaboration with data scientists, software engineers, and business stakeholders to translate requirements into technical AI solutions.
Skilled at integrating AI solutions within enterprise/cloud environments and managing the full AI model lifecycle.
Capable of conducting AI research and innovating with emerging AI technologies while ensuring ethical and secure AI deployment.