Intermediate Data Science Specialis...

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. 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 optimize 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 Smith's 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 Azure 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, troubleshoot, and resolve technical challenges. Required Qualifications: Educational Background: Bachelor's or master's degree in computer science, Data Science Engineering, or a related field. Experience: At least 3+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI and GitHub. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Additional Skills: Experience with Azure MS Foundry and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Experience in deploying apps using Azure-pipelines. Soft Skills: Ability to establish and build relationships across departments. Strong organizational skills and attention to detail. Ability to adapt quickly in a dynamic, fast-paced environment.