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🔍 Mental health care technology
- 5+ years of industry experience building production-level ML platforms and infrastructure.
- Ability to write high-quality code in Python, Java, or Scala.
- Experience building production-ready RESTful APIs and scaling platforms for large user bases.
- Desire to own parts of an ML Platform with understanding of ML models and principles.
- Experience with containers and deploying applications to Kubernetes.
- Familiarity with LLMs and building infrastructure for LLM applications.
- Experience with relational and low-latency databases.
- Experience in transforming data in batch and streaming contexts.
- Ability to manage large projects from scoping to delivery.
- Strong communication and organizational skills, with the ability to simplify complex problems.
- Be part of a team building scalable infrastructure for training, evaluating, deploying, performing inference, and monitoring ML models.
- Build, deploy, and maintain generative AI services and applications.
- Create data systems to collect, clean, label, and store data used for model features.
- Deploy and manage applications in Kubernetes clusters.
- Collaborate with Machine Learning engineers to support experimentation platforms and training frameworks.
- Work with stakeholders to address requirements for ML infrastructure.
AWSPythonJavaKubeflowKubernetesMachine LearningMLFlowPyTorchCommunication SkillsRESTful APIsOrganizational skills
Posted 2024-11-21
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