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. The duties and responsibilities listed above are representative of the nature and level of work assigned and are not necessarily all-inclusive.
OTHER SKILLS AND ABILITIES:
Strong proficiency in Python and SQL, with experience in building and maintaining data products.
Deep familiarity with the Databricks ecosystem, including Unity Catalog, Workflows, and MLflow.
Experience with various LLM providers and tools, such as Anthropic Claude, Google Gemini, and OpenAI.
Hands-on experience with Databricks-specific AI tools like Genie and Agentbricks.
Familiarity with AI-assisted coding tools like Claude Code or GitHub Copilot.
Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving skills and the ability to work independently or in a team environment.
REQUIREMENTS:
Bachelor's degree in Computer Science, Data Science, or a related field.
At least 3 years of experience in AI and ML development and deployment.
Proven experience implementing MLOps practices, preferably within a Databricks environment.
Experience in building and scaling data products that involve NLP or ML algorithms.
Strong analytical and conceptual thinking skills.
Willingness to manage business-critical emergencies during non-business hours.
Exceptional proficiency in written and spoken English.
Promotion to the next level is not automatic based on years of experience. Personnel are evaluated on proven competency, level of responsibility, and ability to work independently.
Discover the Difference
We love knowing that someone is going to have a better life because of the work we do. Discover the Difference at Worldwide Clinical Trials. Explore additional opportunities on our careers page, visit http://www.worldwide.com/careers, or connect with us on LinkedIn.
Stage PFE – Structuration indicesNewSociété Générale · Paris, France