Vacancy caducado!
- Develop end-to-end (Data/Dev/ML)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
- Prototype and demonstrate solutions for clients in customer environments.
- Bachelors degree or 10+ years equivalent experience
- Minimum 2 years of software engineering experience while working in an AI / ML context alongside Data Scientists or ML Engineers
- Experience with design and implementation of cloud solutions (AWS, Azure, or Google Cloud Platform)
- Ample experience working in cloud environments (Azure/AWS)
- Experience with Docker, Kubernetes clusters and implementing CI/CD or DevOps solutions
- Experience building Data or MLOps pipelines
- Advanced analytical capabilities and consulting expertise
- Health/Dental/Vision
- 401K
- PTO
- Advancement opportunities with structured career paths
- Access to the latest emerging technologies
Vacancy caducado!