AI/ML Engineer

Join a global Contract Resource Organization (CRO) where innovation meets purpose. At Worldwide Clinical Trials, we're driven by a shared commitment to improving lives through high-quality clinical research. Our teams are empowered to think creatively, take ownership, and deliver meaningful work that helps bring life-changing therapies to patients around the world.  With more than 4,000 professionals across the globe, we foster a collaborative and inclusive environment where diverse perspectives are valued, growth is encouraged, and every contribution makes an impact. Whether you're building your career or bringing years of experience, you'll have the opportunity to learn, grow, and help shape the future of clinical research.  SUMMARY: The AI / ML Engineer will design, develop, and scale AI-powered data products to enhance Worldwide's services and improve the efficiency of clinical research processes. This role focuses on the end-to-end lifecycle of data products, utilizing the Databricks platform and a variety of advanced LLM tools to create innovative solutions that drive business value. RESPONSIBILITIES: Tasks may include but are not limited to: Collaborate with cross-functional teams to identify business needs and translate them into production-ready data products. Develop, test, and deploy AI models and data pipelines within the Databricks environment using Python and SQL. Manage the full machine learning lifecycle using Databricks MLOps tools to ensure model versioning, tracking, and seamless deployment. Leverage Databricks AI and ML offerings, including Genie and Genie Code, to provide natural language interfaces for data exploration. Build and maintain autonomous agents and workflows using Agentbricks and related frameworks. Implement and fine-tune solutions using a diverse set of LLMs, including Claude, Gemini, and ChatGPT, to solve complex business problems. Utilize developer productivity tools such as Claude Code to accelerate the delivery of AI solutions. Optimize and improve the performance of existing prompts and agentic workflows through advanced prompt engineering. Stay up-to-date with the latest developments in AI, LLM ecosystems, and Databricks features to identify new opportunities for application. Translate technical concepts and findings into clear language for non-technical stakeholders. Provide training and support to end-users on AI-related tools and data products. Create comprehensive documentation for AI models, code, and MLOps processes to facilitate knowledge sharing and troubleshooting. Design AI solutions with scalability and security in mind, ensuring they can handle increasing clinical data volumes. Investigate and resolve issues related to AI model performance, data drift, or system functionality. Ensure compliance with relevant AI-related regulations and data privacy standards within the clinical trials industry. Perform other duties as assigned.