7 of 7 Permanent Integration Patterns Jobs in Belfast

long-running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client Deliver high-quality, production-ready solutions, balancing product … client stakeholders to influence roadmaps, enhancements and implementation approaches Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across ...

Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). \n Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers ...

Experience:\ N\nBSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.\ NFamiliarity with Workday APIs, data structures, and integration patterns.\ NExperience designingand implementing generative AI solutions using large language models (e.G., OpenAI GPT, Hugging Face Transformers).\ NExposure to deep learning techniques (e.G. ...

Desirable Experience: BSc, MSc, or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Exposure to deep learning techniques ...

software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. \n Essential Experience: \n \n Extensive experience … Computer Science, Machine Learning, Software Engineering, or a related field. \n Familiarity with Workday APIs, data structures, and integration patterns. \n Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). \n Expertise in applying deep learning techniques (e.g., CNNs, RNNs ...

software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features. Essential Experience: Extensive experience in software development, with … stakeholders. Desirable Experience: MSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning ...

software engineers, and product teams to deliver robust, scalable AI solutions that enhance our Workday product offerings. Your focus will be on ensuring seamless integration of AI models into production systems, optimizing performance, and maintaining the reliability of AI-driven features.\ NEssential Experience:\ N\nExtensive experience in software development … nDesirable Experience:\ N\nMSc or PhD in Computer Science, Machine Learning, Software Engineering, or a related field.\ NFamiliarity with Workday APIs, data structures, and integration patterns.\ NExperience designingand implementing generative AI solutions using large language models (e.G., OpenAI GPT, Hugging Face Transformers).\ NExpertise in applying deep learning techniques ...