Browse 407 curated roles with transparent salary cues so you don't have to open ten tabs to compare offers.
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Trilogy operates differently. Overseeing a portfolio of more than 100 enterprise software solutions, we have transformed customer support through sophisticated AI technology.
Responsibilities Establish AI Cybersecurity Governance and Risk Management: Develop and implement a comprehensive AI risk management framework to identify, assess, and mitigate risks across the AI lifecycle. Proactively reduce the AI attack surface by embedding security by design principles into all AI projects.
Rather than simply developing AI utilities, we engineer AI-powered frameworks that produce dynamic, learner-centered educational resources. This role diverges from conventional AI engineering positions.
Architect and integrate cloud-native and hybrid applications, utilizing Azure Service Bus, Azure Data Factory, and Azure Event Grid. Strong knowledge of Azure Service Bus, Azure Data Factory, Azure Event Grid, PostgreSQL, and Azure SQL.
Architect and integrate cloud-native and hybrid applications, utilizing Azure Service Bus, Azure Data Factory, and Azure Event Grid. Strong knowledge of Azure Service Bus, Azure Data Factory, Azure Event Grid, PostgreSQL, and Azure SQL.
MongoDB, Redis) Esperienza con l'utilizzo di Git e pratiche di CI/CD (es. 7 e 13 del D.
Skills & Experience: Strong background in Python software engineering. Experience with network automation and telecoms - desirable.
This role offers the opportunity to work in a remote-first, fast-paced environment, solving both deep technical challenges and product-focused problems. 🔍 Our AI evaluates your CV and profile thoroughly, analyzing your skills, experience, and achievements.
Key Responsibilities Create and answer computer science-related questions to train AI models. Explain complex programming concepts clearly in both Spanish and English.
Skills & Experience: Strong background in Python software engineering. Experience with network automation and telecoms - desirable.
Conduct technical reviews, including source code reviews. Experience with Microsoft Azure App Service.
Experience with open source multimedia frameworks (GStreamer, FFmpeg). Soft Skills Autonomous and experienced working in Open Source projects.
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