Campus-Competent
HCLTech
Cloud platforms: Azure, AWS, or Google Cloud.
AI/ML concepts and frameworks.
Python, SQL, and scripting languages.
Data engineering and analytics fundamentals.
DevOps, MLOps, and CI/CD practices.
Problem-solving, communication, and stakeholder management skills.
Develop and deploy AI/ML models on cloud platforms.
Design scalable and secure cloud AI architectures.
Integrate AI services, APIs, and automation solutions into applications.
Monitor, optimize, and maintain AI workloads in the cloud.
Ensure compliance with security, governance, and data privacy standards.
Collaborate with business and technical stakeholders to deliver AI-driven solutions.
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