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Tier-1 brand, Bengaluru location, and early-career AI/cloud role attract many applicants.
AI and cloud skills transfer across industries, though agentic AI focus increases specificity.
Requires demonstrated AI/cloud project experience and degree but has no strict years requirement.
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Design, develop, and deploy autonomous Agentic AI systems interacting with users and other systems.
Build and optimize cloud infrastructure on AWS, Azure, or GCP to support AI/ML workloads and manage CI/CD pipelines for AI models and cloud services.
Identify operational bottlenecks, optimize resource use, implement monitoring, and collaborate cross-functionally to integrate AI capabilities into products.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field, preferably 2024-2026 graduates.
Hands-on experience with at least one major cloud platform (AWS, Azure, GCP) through projects, internships, or certifications.
Proficiency in Python and familiarity with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or LangChain.
Work Experience Required: Not explicitly mentioned in the JD.
Recent graduates with demonstrated projects or coursework in Agentic AI, autonomous systems, or AI orchestration frameworks.
Experience with cloud infrastructure optimization and implementation of CI/CD pipelines for AI/ML workloads.
Familiarity with DevOps tools, containerization, orchestration, or cloud certifications is advantageous but not mandatory.