About
Develop and maintain data pipelines to support data science models and ensure efficient access to multiple data sources Package and deploy new or updated machine learning models to production, utilizing large language models for generative and agentic AI applications Research and share advancements in data and AI technologies to enhance organizational capabilities
Required qualifications
Bachelor's Degree or higher in Information Technology or a related field, or a minimum of two years of relevant work experience in software design and programming Experience with cloud platforms, preferably AWS, and tools such as Linux, Python, Git, and SQL Proficiency in building APIs and containers, specifically using Flask and Docker Ability to understand business goals and apply AI/ML models to achieve them Self-motivated with a capacity to recommend and implement new tools and technologies as needed
Languages
- English
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