Infra Engineer
Job description
Join Camb.ai, reshape the web. ML Infra Engineer: craft scalable ML solutions, collaborate with scientists, optimize pipelines.
About
The Internet was made for English speakers. We are redesigning it for the world.
At Camb.ai, we're pioneering the future of AI-driven dubbing, localization, speech synthesis and NMT. Powered by our state-of-the-art models in zero-shot performance transfer and colloquial translation, we're not just innovating; we're setting SOTA benchmarks.
Backed by elite global VCs, partnering with enterprise giants and top influencers, guided by a AI leadership with five $100Mn ARR successes, we're seeking top-tier talent to expand our AI research team comprising of individuals from Carnegie Mellon, Apple and more.
Responsibilities
- Design, develop, and maintain the infrastructure to train, deploy, and monitor ML models at scale.
- Collaborate closely with ML scientists to understand the requirements and deliver robust solutions.
- Ensure the infrastructure's reliability, scalability, and performance.
- Proactively identify areas for improvement and optimization in our ML pipeline.
Qualifications
- Degree in Computer Science or a related field.
- Solid experience with cloud platforms (like AWS, Azure, GCP), containerization tools (like Docker, Kubernetes), and ML platforms (like TensorFlow, PyTorch).
- Understanding of the challenges associated with deploying and scaling ML models.
- Strong programming skills in Python or similar languages.
Apply for this position
We’ve got an ambitious road ahead. Join our team and help us shape the future of content and media.
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