Serve as a resource for creating AI agents and RAG databases to solve problems in marketing analytics, sales insights, peer benchmarking and economic trends, and interactive analytical dashboards.
Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data.
Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources.
Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis and process improvement.
Develop and deploy AI and ML solutions on Google Cloud Platforms.
Utilize massive data sources to craft business insights and features for innovative solutions.
Understand diverse data sources, both structured and unstructured.
5+ years of relevant experience in Data Science and/or AI/ML.
M.S. or higher degree required in Computer Science; or Mathematics, Statistics, Economics, Operations Research, or Industrial Engineering if accompanied by strong computer science principles and skills.
Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development.
Experience with agents frameworks (preferably Langchain).
Experience with proprietary and/or open source LLMs.
Experience in prompt engineering.
Experience with RAG and Vector Databases
Proficient in Python and SQL.
What could set you apart
Exposure to Agentic AI.
Evaluation, testing and monitoring of GenAI/Agents.
Google Cloud Platform experience.
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We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Any Graduate