AI & Data Science Specialist

2 weeks ago


Chicago IL, United States Cook County Treasurers Office Full time

Key Responsibilities AI Model Development & Training: Critically evaluate large language model outputs for software engineering tasks while training and refining domain specific models. If you are interested in applying for this job, please make sure you meet the following requirements as listed below. Develop interdepartmental best practices for producing accurate and useful AI responses. Creation and implementation of MCP for domain specific applications. Data Science & Research: Design and implement data pipelines to structure and analyze complex financial and governmental datasets. Utilize and fine-tune open-source models for internal needs including text, and document classification, large-n analysis, and public-facing data release. Promote open access by building graph databases to enable efficient information retrieval and similarity search across multiple modes and by various users. Software Engineering: Develop and deploy software solutions to improve accessibility and data efficiency with documentable experience taking projects from concept to enterprise grade applications or services. Promote integration of machine learning tools into development, production, analysis, and release. Process Optimization & Management: Frequently re-analyze workflow, data intake and network protocols in search of maximal efficiency in high-volume environments. Experience orchestrating ELT automation using containerization. Optimize data storage and modernize secure servers. Qualifications Education: Bachelor’s degree, in Computer Science, Data Science, or a related field. xrczosw Or should have at least four (4) years of experience in information technology or data science. Technical Skills: Programming: Highly proficient in at least one Python, Java, C#, C++ (Proficient), familiar with development in Microsoft Enterprise Environment Frameworks & Tools: Opensource GPT, PyTorch, TensorFlow, SQL, Git, Vector Databases Machine Learning: Linear and logistic regression, neural networks, support vector regression, decision trees, open-source MCP, bidirectional NLI. Soft Skills Strong analytical and problem-solving abilities Excellent written and verbal communication skills Proven ability to work independently and collaboratively Link to Benefits below OE25.Employee Benefits Overview_FINAL..pdf


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