Cloud Specialist
3 days ago
Responsibilities
Collaborate with software engineers, data scientists, project leads and other stakeholders to understand requirements and design cloud-based involving AI/ML solutions. Identify and propose end-to-end connectivity solutions with inputs from project leads on customer problems. Implement and optimize machine learning models and algorithms for leading technology areas like predictive maintenance. Develop, deploy, and maintain solutions using leading cloud platforms such as AWS, Azure. Stay updated on emerging trends and technologies in cloud computing, AI, and data science, and evaluate their potential impact on business objectives. Work together with the global ZF innovation team to support each phase of innovation project - development, user validation process and propose solutions (products and/or services) that might lie between organizational borders. While doing, co-ordinate and execute PoC (Proof of Concept) activities for collaboration between departments and start-ups/scale-ups.Requirements / Profile
Bachelor’s degree in Computer science, Engineering, or a related field. 3-15 years of experience in cloud engineering, with a strong understanding of cloud platforms and services (AWS, Azure). Broad understanding of artificial intelligence, machine learning, and data analysis concepts and techniques. Strong programming skills with sound understanding for software engineering principles. Preferable languages include Python, Java, JavaScript. Experience in working with Edge / Cloud connectivity architecture, containerization, and orchestration tools (e.g., Docker, Kubernetes) is a plus. Excellent team player and good communications skills. Able to collaborate with multiple experts and build system together.-
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