Engineering Freshers for Cloud and AI projects

Company Description cloud4biz is a technology-focused organization specializing in cloud computing and artificial intelligence solutions for businesses of various sizes. The company is committed to delivering scalable, secure, and innovative digital services that help clients modernize their operations and improve performance. At cloud4biz, early-career engineers have opportunities to work with contemporary tools, frameworks, and platforms in a collaborative environment. The team values continuous learning, experimentation, and practical problem-solving, offering mentoring and guidance to help individuals grow into cloud and AI professionals.

Role Description This is a full-time remote role for Engineering Freshers working on Cloud and AI projects. In this role, team members will assist in designing, developing, testing, and deploying cloud-based applications and AI solutions under the guidance of senior engineers. Daily tasks may include writing and reviewing code, running experiments, documenting technical work, and contributing to basic system integration and troubleshooting activities. Individuals will collaborate with cross-functional teams, participate in stand-up meetings, and support research and proof-of-concept development for new features and services. The role also involves learning and applying best practices for security, performance, and reliability in cloud and AI environments.

Qualifications

• Strong Analytical Skills and Research abilities to understand problems, interpret data, and explore solution options.
• Programming skills in one or more languages (such as Python, Java, or JavaScript) with an interest in cloud and AI development.
• Effective Communication skills to collaborate with team members, document work clearly, and participate in remote discussions.
• Foundational knowledge in Electrical Engineering or related technical discipline, with the ability to apply core engineering principles.
• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and introductory understanding of AI/ML concepts is beneficial.
• Bachelor’s degree in Engineering, Computer Science, or a related field (or equivalent practical experience).
• Ability to work independently in a remote setting, manage time effectively, and adapt to new tools and technologies.
• Interest in continuous learning, certifications, and hands-on projects in cloud infrastructure and AI solutions.