Kainos
1001 - 5000 employees
🏥 Healthcare
📣 Marketing
📦 Logistics
💰 Venture Round on 1986-04
Healthcare • Marketing • Logistics
Kainos is a technology company focused on solving real problems for its customers and enhancing business operations through innovative IT solutions. With specialties in Enterprise Content Management, Application Management Services, Systems Integration, and Digital Transformation, Kainos serves clients across various sectors including healthcare, commercial, and the public domain. Their emphasis on building strong relationships and delivering impactful solutions is reflected in their two main business areas: Digital Services and Workday Practice, aimed at improving the lives of people and the functionality of organizations globally.
Lead AI Engineer
🕒 June 20
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Kainos
1001 - 5000 employees
🏥 Healthcare
📣 Marketing
📦 Logistics
💰 Venture Round on 1986-04
Healthcare • Marketing • Logistics
Kainos is a technology company focused on solving real problems for its customers and enhancing business operations through innovative IT solutions. With specialties in Enterprise Content Management, Application Management Services, Systems Integration, and Digital Transformation, Kainos serves clients across various sectors including healthcare, commercial, and the public domain. Their emphasis on building strong relationships and delivering impactful solutions is reflected in their two main business areas: Digital Services and Workday Practice, aimed at improving the lives of people and the functionality of organizations globally.
📋 Description
• Play a critical role in bridging data science and software engineering • Work closely with data scientists, software engineers, and product teams • Deliver robust, scalable AI solutions • Ensure seamless integration of AI models into production systems • Optimize performance and maintain reliability of AI-driven features
🎯 Requirements
• Extensive experience in software development • Proficiency in Python, Java, or C++ • Proven experience in deploying AI/ML models • Familiarity with MLOps practices • Experience with cloud platforms (AWS, Azure, or GCP) • Design and deploy cloud-based AI solutions • Proficiency in using containerization technologies (e.g., Docker) • Strong skills in data engineering • Exposure to agile software development practices • Strong interpersonal skills
🏖️ Benefits
• diverse, ambitious team • creativity and collaboration emphasized
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