AI & Data Engineer job opportunity at Accenture Plc.

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Accenture Plc AI & Data Engineer
Experience: 2 years
Pattern: full-time
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AI & Data

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degreeBachelor's (B.Sc.)
loacation Athens, Greece
loacation Athens....Greece

Are you ready to be a part of the digital reinvention of industry and revolutionize your career? In today’s world, business leaders want to rapidly and confidently reinvent to increase resilience, mitigate risk, and grow with sustainable value. That’s where Accenture Strategy & Consulting - Data & AI comes in. We bring together strategic visionaries, industry experts, practitioners from across every enterprise function, business intelligence professionals, change specialists, data and AI authorities, and many other specialized skills to co-create each client’s unique path to reinvention. You will be a trusted partner to business leaders, working with a diverse team of experts to deliver successful tech-enabled transformation and new kinds of value for your clients. Strategy and Consulting is one of four services –the others are Song, Technology and Operations WORK YOU’LL DO As part of Data & AI practice, you will combine AI & ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. Key Responsibilities: Assist in the development and optimization of scalable data pipelines and workflows in cloud environments. Support senior data engineers and architects by gathering requirements and helping define robust data models and architecture. Apply DevOps practices, including basic Git workflows and involvement in CI/CD pipelines. Contribute to maintaining data quality, security, and governance standards across all data-related activities. Collaborate with cross-functional teams to ensure data solutions align with business needs and quality standards. Research, design, build, and implement Machine Learning systems, and maintain, and improve existing ones

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