performance, ensuring scalability, and updating systems to maintain accuracy.
development.
policies.
to integrate these advanced techniques into solutions where they can drive significant business value.
Technology / Programming & System Analysis / Computer Studies / data science or a related field, with a minimum of 3 years of professional experience as a AI Engineer
ability to extend existing structures. Exhibits proficiency in Object-Oriented Programming (OOP) by implementing S.O.L.I.D. principles and in data structures & algorithms by analyzing complexities and making efficient choices (e.g., Numpy vs. Pandas).
scenarios. Skilled in architecting solutions that augment core models with external logic and tools (e.g., Retrieval-Augmented Generation or MCP) and in developing complex, end-to-end multi-agent systems using services like ADK, DialogFlow, or equivalent cloud services.
navigating operating systems, programming and querying languages (e.g., Java, SQL), version control (e.g., Git), development methodologies (Agile, Waterfall), CI/CD concepts (e.g., Jenkins), testing principles, and monitoring. Possesses a foundational understanding of design patterns, software architecture, and core cloud technologies (e.g., GCP, AWS, or Azure).
cloud databases with a focus on query optimization. Highly skilled in data preprocessing, from comprehensive cleaning and encoding to advanced feature creation. A proficient communicator, capable of translating complex technical findings into clear, influential data stories for diverse audiences, including senior leadership. Possesses a foundational ability to create data visualizations (e.g., using Tableau) to support insights.
Agile methodologies and user story documentation.
process.
firm.
*We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*
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