Senior Backend Engineer AI Serving - Node / Remote
Manila, National Capital Region
Posted 6 days ago
- Company:
- Visage Executive Search
- Company Description:
- At Visage Executive Search, we are dedicated to connecting top-tier talent with the most dynamic and innovative companies in the industry. As a premier executive search firm, we specialize in identifying and recruiting exceptional leaders who drive business success. Our team of experienced professionals brings a deep understanding of various industries, with a particular focus on BPO, RPO, FMCG, Healthcare, IT and Gaming. We take pride in our tailored approach, working closely with our clients to understand their unique needs, culture, and strategic goals. With an extensive network and a commitment to excellence, we are uniquely positioned to find the right leaders who can make a significant impact. Whether you're seeking C-suite executives, senior management, or specialized roles, Visage Executive Search delivers unparalleled results through a blend of industry expertise, strategic insight, and personalized service. Our mission is to build long-lasting partnerships, helping businesses thrive by placing the right people in the right positions. At Visage Executive Search, we don't just find candidates; we find leaders.
- Contract Type:
- Remote
- Experience Required:
- 5 to 10 years
- Education Level:
- Bachelor’s Degree
- Gender:
- Any
- Number of vacancies:
- 1
Job Description
What You’ll Do
Ship Node.js services that make it easy for Speechify’s product teams to bring the full power of our AI Voices to their customers for a diverse range of use cases.
Deploy and operate the core ML inference workloads for our AI Voices serving pipeline.
An Ideal Candidate Should Have
Experience shipping Node.js services written in Typescript (required)
Experience being responsible for the successful operation of a critical production service
Experience with public cloud environments, GCP preferred
Experience with Infrastructure such as Code, Docker, and containerized deployments.
Preferred: Experience deploying high-availability applications on Kubernetes.
Preferred: Experience deploying ML models to production