Job Description

Locations

• Germany, Hesse, Frankfurt

Skills Required

• transformer architecturesintermediate
• Databricks is a plusintermediate
• data engineeringintermediate
• cloud platformsintermediate
• web development technologiesintermediate
• parallel processingintermediate
• AI with a focus on GenAIintermediate

Required Qualifications

• Software Design & Architecture: Proven experience in designing robust software architectures for large-scale platforms. (experience)
• Development Best Practices: Strong understanding of software development and delivery best practices, including CI/CD pipelines, version control, and testing methodologies. (experience)
• Generative AI Expertise: Deep knowledge of transformer architectures, embedding models, large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. (experience)
• Data & ML Engineering: Solid background in data engineering and machine learning engineering. Experience with Databricks is a plus. (experience)
• Cloud Proficiency: Extensive experience with cloud platforms, preferably Azure . (experience)
• Advanced Python: Expertise in advanced Python programming for developing complex AI models and applications. (experience)
• Web Technologies: Proficiency in web development technologies, particularly JavaScript , for building interactive and user-friendly interfaces. (experience)
• Performance Optimization: Experience with parallel processing and GPU/CUDA programming is a nice-to-have. (experience)
• Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field is preferred. (degree in machine learning)
• at least 8 years of software engineering experience, relevant experience with AI with a focus on GenAI. (experience, 8 years)
• Software Design & Architecture: Proven experience in designing robust software architectures for large-scale platforms. (experience)
• Development Best Practices: Strong understanding of software development and delivery best practices, including CI/CD pipelines, version control, and testing methodologies. (experience)
• Generative AI Expertise: Deep knowledge of transformer architectures, embedding models, large language models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents. (experience)
• Data & ML Engineering: Solid background in data engineering and machine learning engineering. Experience with Databricks is a plus. (experience)
• Cloud Proficiency: Extensive experience with cloud platforms, preferably Azure . (experience)
• Advanced Python: Expertise in advanced Python programming for developing complex AI models and applications. (experience)
• Web Technologies: Proficiency in web development technologies, particularly JavaScript , for building interactive and user-friendly interfaces. (experience)
• Performance Optimization: Experience with parallel processing and GPU/CUDA programming is a nice-to-have. (experience)
• Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field is preferred. (degree in machine learning)
• at least 8 years of software engineering experience, relevant experience with AI with a focus on GenAI. (experience, 8 years)
• IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com (experience)
• IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. (experience)

Responsibilities

• Platform Development: Design and architect the Orion GenAI Platform to support scalable and efficient GenAI product deployment.
• Accelerate Development: Implement strategies to speed up the development and delivery lifecycle of GenAI products.
• Standardization: Develop and enforce standardized technology stacks and best practices to ensure consistency and quality across projects.
• Innovation Facilitation: Provide standard components and tools that enable application teams to innovate rapidly without reinventing the wheel.
• Technical Shielding: Abstract and manage complex technical challenges, allowing application teams to focus on application-specific functionalities.
• Collaboration: Work closely with cross-functional teams to understand their needs and integrate GenAI solutions seamlessly.
• Platform Development: Design and architect the Orion GenAI Platform to support scalable and efficient GenAI product deployment.
• Accelerate Development: Implement strategies to speed up the development and delivery lifecycle of GenAI products.
• Standardization: Develop and enforce standardized technology stacks and best practices to ensure consistency and quality across projects.
• Innovation Facilitation: Provide standard components and tools that enable application teams to innovate rapidly without reinventing the wheel.
• Technical Shielding: Abstract and manage complex technical challenges, allowing application teams to focus on application-specific functionalities.
• Collaboration: Work closely with cross-functional teams to understand their needs and integrate GenAI solutions seamlessly.

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