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Tier-1 employer, entry AI role in Bangalore with popular title and broad AI requirements increases competition.
Requires specialized ML/Generative AI and MLOps skills, so cross-industry transferability is limited.
Explicit 0–2 years plus mandatory AI/LLM, MLOps, and degree requirements make filters moderately strict.
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Design, develop, deploy, and monitor AI/ML models and agentic AI systems for production use across business units.
Develop and integrate Generative AI and Agentic AI solutions using prompt engineering, RAG, multimodal AI, and autonomous reasoning, primarily on Azure cloud infrastructure.
Create and maintain data applications, MLOps pipelines, and high-visibility business dashboards using tools like Power BI or Tableau.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
0–2 years of relevant experience in AI or Data Engineering.
Proficiency in programming languages such as Python, Java, or C# and experience with AI libraries/frameworks like TensorFlow, PyTorch.
Hands-on experience with Generative AI (including LLMs), Agentic AI systems, and AI frameworks such as LangChain, Hugging Face, or OpenAI APIs.
Comfortable working with cloud platforms and AI tools on Azure, including deploying and monitoring AI models in production environments.
Experience collaborating with cross-functional teams including data scientists, software engineers, and product teams to deliver AI-powered business applications.
Familiarity with MLOps practices such as CI/CD, model versioning, artifact management, and building scalable AI solutions.