MLOps Engineer
Design, build, and maintain end-to-end ML and ETL pipelines. Develop CI/CD pipelines and AWS infrastructure. Enhance ML production environments and monitoring. Design architectures for LLM-based products. Implement DevOps and automation processes.
Responsibilities
- Design, build, and maintain end-to-end ML and ETL pipelines, including model training, validation, and deployment.
- Develop and maintain CI/CD pipelines and implement AWS services and infrastructure.
- Build and enhance ML infrastructure with a focus on production environments and monitoring.
- Design and develop architectures for LLM-based products and solutions.
- Implement DevOps methodologies, develop automation processes, and create infrastructure blueprints.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- At least 2 years of experience in a similar role with ML systems in production.
- Proven experience with ML pipelines on AWS.
- Hands-on experience with Docker, Git, and CI/CD processes.
- Strong proficiency in Python and production-grade ML code.
- Experience in Linux environments.
Nice to have
- Knowledge of networking and communication protocols.