Description
You will lead the development of MLOps and Generative AI solutions within a GCP environment.
Responsibilities
- Deliver MLOps and Gen AI solutions in GCP using Python to support company-wide business needs.
- Collaborate with software engineers, ML engineers, and Data Scientists to solve complex AIOps and Gen AI problems.
- Develop, manage, and automate CI/CD ecosystems and release processes.
- Standardize machine learning development practices and implement paired programming for cross-training and problem-solving.
- Build reusable AI/ML components and deliver user stories using industry best practices.
Required Skills
- 5+ years of professional software engineering experience.
- Proficiency in Python for backend software engineering.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience implementing MLOps and Data Science workflows.
- Practical knowledge of Kubernetes and container orchestration.
- Competency in managing CI/CD pipelines and automation tools.
- Ability to work closely with Product Owners and technical stakeholders.
- Bachelor's degree or equivalent graduate education.