About CDM Smith :

CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies.

Position Summary :

We are looking for a skilled and experienced Intermediate Data Science Specialist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services.

Key Responsibilities :

- AI Solution Development : Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals.

- Machine Learning & Deep Learning : Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance.

- Data Engineering & Processing : Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data.

- Data Visualization : Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders.

- Azure Open AI Expertise : Leverage Azures suite of AI tools, including LLMs and AI Foundry, for scalable, cloud-based deployment of AI solutions.

- Indexing & Document Optimization : Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage.

- Prompt Engineering : Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems.

- Cross-functional Collaboration : Work with various teams on edge cases, to troubleshoot and resolve technical challenges.