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Tier-1 brand, Bengaluru location, entry-level ML/cloud role attracts many qualified applicants.
AI and cloud engineering skills transfer across industries but require ML-specific experience, giving moderate sensitivity.
Requires demonstrable AI, cloud, and MLOps project experience and specific technical skills despite no strict years requirement.
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Develop, deploy, and optimize Agentic AI systems capable of autonomous tasks and decision-making.
Build and maintain cloud infrastructure on AWS, Azure, or GCP to support AI/ML workloads, including CI/CD pipeline implementation.
Monitor and improve operational performance, resource utilization, and system reliability of AI and cloud solutions.
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field; 2024-2026 graduates preferred.
Demonstrated project or coursework experience in Agentic AI, autonomous systems, or AI orchestration frameworks.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) through projects, internships, or certifications.
Programming proficiency in Python and familiarity with AI/ML libraries like TensorFlow, PyTorch, or LangChain.
Entry-level candidate, such as recent graduates with relevant academic projects or internships in AI and cloud technologies.
Experience working with autonomous AI systems and cloud infrastructure, indicating ability to handle both AI modeling and deployment.
Comfortable participating in collaborative settings including code reviews, design discussions, and cross-functional integration efforts.