Чем предстоит заниматься
Design, build, and optimize ML and data pipelines for LLM applications
Collaborate with data scientists and software engineers to deploy scalable, production-ready models
Implement fine-tuning techniques for large language models to enhance performance
Utilize cloud platforms (AWS, Azure, GCP) for deploying machine learning solutions
Manage MLOps technologies and tools, including but not limited to AWS SageMaker, Kubeflow, and Vertex AI
Automate workflows and streamline processes using scripting and CI/CD tools
Ensure adherence to best practices in software development, including test-driven development and version control
Maintain documentation and facilitate effective communication across teams using tools like Jira and Confluence