Position:MLOPs Engineer
Location:Remote work
Duration:Long term
Client:Kaiser
Job Description:
The MLOPs Engineer will play an integral role incorporating Artificial Intelligence (AI) within Kaiser Permanente. The solutions will impact patient care, medical research, and operational services. This group is tasked to innovate, build, deploy and monitor production grade AI, machine learning (ML) and predictive algorithms into healthcare.
Key Technologies Required
– Large Language Models, ChatGPT, Advanced Python, Lambda2, Kubernetes, Vector Databases/Embedding
What you will do
– Design, build and maintain scalable and robust infrastructure for AI/ML systems, including cloud-based environments, containerization and orchestration platforms.
Develop and implement CI/CD pipelines to automate the deployment, testing and monitoring of AI/ML models and applications.
– Collaborate with data scientists, data engineers and software engineers to optimize model training, deployment and inference pipelines.
– Monitor and troubleshoot AI/ML systems to ensure high availability, performance and reliability.
– Maintain and monitor model training and inference pipelines across multi-cloud tenants especially around Large Language Models (LLMs).
* Good communication and interpersonal skills.
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