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Specialized fullstack plus AI requirements reduce generalist pool, with a mid-tier employer and unspecified location.
Skills span software engineering and ML, transferable across industries but require AI experience.
Requires combined software and ML skills without strict years, so moderate filtering on technical fit.
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Design, develop, and maintain AI-enabled applications and services with a focus on performance, reliability, and usability.
Build and optimize data pipelines and machine learning workflows including ETL/ELT and performance tuning.
Collaborate cross-functionally to translate product needs into clear technical solutions and maintain deployed systems through monitoring and troubleshooting.
Bachelor’s degree in Computer Science, Software Engineering, or related field or equivalent practical experience.
Strong programming skills in at least one modern language such as Python, Java, or C#.
Experience in building software services involving APIs, databases, and version control.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with machine learning or AI frameworks and production ML workflows to effectively develop AI-driven applications.
Familiarity with cloud services, containerization, and deployment practices for scalable and reliable system delivery.
Background in data engineering including ETL/ELT, data quality, and performance optimization handling complex data workflows.