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Husqvarna Construction

construction equipment · diamond tools

Cloud Data and AI Engineer

MumbaiPosted 2 months ago
Software engineeringMid-levelFull Time, Permanent
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We are looking for a highly skilled and experienced Cloud Data and AI Engineer to join our team. The ideal candidate will have a strong background in cloud data and AI engineering, with excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment. Roles and Responsibility Design, develop, and deploy scalable cloud-based data pipelines and architectures. Collaborate with cross-functional teams to identify business requirements and develop solutions. Develop and maintain large-scale data systems, ensuring high availability and performance. Implement machine learning models and algorithms to drive business insights. Work closely with stakeholders to understand data needs and provide actionable recommendations. Ensure compliance with industry standards and best practices for data security and privacy. Job Requirements Strong understanding of cloud computing platforms such as AWS or Azure. Experience with big data technologies like Hadoop, Spark, or NoSQL databases. Proficiency in programming languages such as Python, Java, or C++. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Strong knowledge of data structures, algorithms, and software design patterns. About Company Husqvarna Group is a leading global company that specializes in innovative products and services for a wide range of industries. We are committed to delivering exceptional customer experiences and driving business growth through technological innovation. The last day to apply for this position is [insert specific date]. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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