Ai architect job description this role involves designing and implementing ai-driven solutions that leverage advanced machine learning techniques. you will work with a small, high-caliber team to advance our ai-driven insights platform. - design and deploy ai-driven insights tools that blend advanced machine learning techniques with pragmatic, real-world applications. - develop and refine nlp models using spacy, hugging face transformers, and nltk, leveraging retrieval-augmented generation (rag) techniques to extract insights from unstructured data. - build, train, and deploy machine learning models using python, r, and javascript, incorporating data science libraries like pandas, polars, numpy, and scipy. - design and optimize data pipelines, working with sql and nosql databases, and automate reporting workflows using xlwings, python-pptx, and python-docx. - deploy models and applications using docker, kubernetes, and cloud services (google cloud platform, aws), following mlops best practices for ci/cd. - translate complex, ambiguous problems into actionable recommendations by asking the right questions, exploring data, and distilling findings into clear business insights. - partner with internal stakeholders across engineering, product, and business teams to ensure ai solutions align with our strategy and industry needs. required skills and qualifications - hands-on experience working with and delivering solutions in a cloud environment (gcp, aws, and/or azure). - experience building llm (large language model) solutions in a production environment. - expertise in pyth...
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