Senior MLOps Engineer - Gong.io

Developing and evolving Gong’s machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling. Designing and building scalable infrastructure that supports large-scale model training, experimentation, and validation. Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency. Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles. Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably. Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently. Improve the scalability, reliability, and consistency of machine learning development across Gong’s AI organization. You bring 8+ years of software engineering experience, including 3+ years of experience building machine learning systems with Python. You have strong infrastructure and system design expertise and enjoy solving complex technical challenges end-to-end. You thrive in multidisciplinary environments, working across MLOps, DevOps, internal tooling, and AI technologies. You balance technical leadership with collaboration, influencing direction while supporting teams and stakeholders across the organization.

Developing and evolving Gong’s machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling. Designing and building scalable infrastructure that supports large-scale model training, experimentation, and validation. Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency. Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles. Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably. Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently. Improve the scalability, reliability, and consistency of machine learning development across Gong’s AI organization. You bring 8+ years of software engineering experience, including 3+ years of experience building machine learning systems with Python. You have strong infrastructure and system design expertise and enjoy solving complex technical challenges end-to-end. You thrive in multidisciplinary environments, working across MLOps, DevOps, internal tooling, and AI technologies. You balance technical leadership with collaboration, influencing direction while supporting teams and stakeholders across the organization.

Developing and evolving Gong’s machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling. Designing and building scalable infrastructure that supports large-scale model training, experimentation, and validation. Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency. Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles. Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably. Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently. Improve the scalability, reliability, and consistency of machine learning development across Gong’s AI organization. You bring 8+ years of software engineering experience, including 3+ years of experience building machine learning systems with Python. You have strong infrastructure and system design expertise and enjoy solving complex technical challenges end-to-end. You thrive in multidisciplinary environments, working across MLOps, DevOps, internal tooling, and AI technologies. You balance technical leadership with collaboration, influencing direction while supporting teams and stakeholders across the organization.