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Senior AI Engineer
Virtual Vocations Inc
4 hours ago
Full-time
On-site
East New York, New York, United States
Setting the technical direction for AI initiatives, the full-time Senior AI Engineer will develop machine learning systems, enhance data usability, and collaborate closely with cross-functional teams in a hybrid work environment to drive efficiency in manufacturing processes.
Key responsibilities
Own the AI/ML architecture and technical strategy for sales, engineering, and manufacturing systems, translating business problems into prioritized AI work Extract structured requirements from various documents and assist in configuration and quoting processes to improve operational efficiency Design and implement robust evaluation frameworks to ensure safe deployment of AI solutions, maintaining full traceability and compliance with data governance standards
Required qualifications
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field 5+ years in software or data engineering, with significant experience building and deploying machine learning or AI systems in production Strong proficiency in Python and SQL, with depth in modern applied machine learning techniques and frameworks Experience with enterprise data schemas and the ability to navigate and improve messy data environments Demonstrated experience in deploying and operating models in production, including containerization and CI/CD practices
Own the AI/ML architecture and technical strategy for sales, engineering, and manufacturing systems, translating business problems into prioritized AI work Extract structured requirements from various documents and assist in configuration and quoting processes to improve operational efficiency Design and implement robust evaluation frameworks to ensure safe deployment of AI solutions, maintaining full traceability and compliance with data governance standards
Required qualifications
Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field 5+ years in software or data engineering, with significant experience building and deploying machine learning or AI systems in production Strong proficiency in Python and SQL, with depth in modern applied machine learning techniques and frameworks Experience with enterprise data schemas and the ability to navigate and improve messy data environments Demonstrated experience in deploying and operating models in production, including containerization and CI/CD practices