
51 - 200 employees
☁️ SaaS
🏢 Enterprise
SaaS • Enterprise • Technology
Erbis is a technology company specializing in developing customized software solutions for various industries. The company offers services such as platform and product development, AI and machine learning, web development, mobile app development, and more. Erbis focuses on delivering high-quality and scalable applications, catering to businesses in sectors like supply chain, legal, and startups. Their expertise includes digital transformation, cybersecurity, and modernization of legacy systems. Erbis is committed to providing innovative tech solutions to optimize costs and improve operational efficiency for their clients.
🕒 February 25
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51 - 200 employees
☁️ SaaS
🏢 Enterprise
SaaS • Enterprise • Technology
Erbis is a technology company specializing in developing customized software solutions for various industries. The company offers services such as platform and product development, AI and machine learning, web development, mobile app development, and more. Erbis focuses on delivering high-quality and scalable applications, catering to businesses in sectors like supply chain, legal, and startups. Their expertise includes digital transformation, cybersecurity, and modernization of legacy systems. Erbis is committed to providing innovative tech solutions to optimize costs and improve operational efficiency for their clients.
• Design, develop, and deploy AI-powered applications using Microsoft Azure or AWS technologies • Identify and evaluate opportunities for applying generative AI and other AI technologies to real business challenges • Collaborate with business teams to define AI use cases, success metrics, and ROI • Build scalable, maintainable, and secure AI solutions within Microsoft stacks • Stay up-to-date with AI trends and emerging technologies, recommending innovative solutions where applicable • Document architectures, workflows, and AI models for internal knowledge sharing and handoff
• At least 1 year of recent hands-on experience in applied AI using Microsoft Azure or AWS technologies • Proven ability to implement AI solutions for real business problems with measurable ROI • Experience identifying practical applications of existing generative AI technologies in business contexts • English level: Upper-Intermediate or above • Soft skills: Excellent communication skills and ability to collaborate with stakeholders to define AI use cases • Analytical and business-oriented mindset • Cross-functional collaboration • End-to-end ownership • Proactive problem solving under uncertainty • Architectural thinking • Continuous improvement & knowledge sharing
• Paid Vacation days: 24 working days • Paid Sick days: 15 working days • The opportunity to dedicate up to 10% of working hours for self-education and personal development
Apply Now🕒 January 14
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