Chief AI Infrastructure Architect

3 days ago


Bengaluru, Karnataka, India Oracle Full time

Oracle is seeking a seasoned Machine Learning Engineer to join our AL infra and platform Engineering Service team. This role offers an exciting opportunity to design, implement systems end-to-end by helping select the right technologies and envisioning a long-term architecture.

We are looking for a highly skilled professional with strong background in software design, development, and experience in architecting application or platform around ML ops, dev ops, and ML Platform. The ideal candidate will collaborate with multi-functional teams to design, implement, and optimize ML Services and Platform.

This position requires strong knowledge of machine learning, cloud infrastructure, and distributed systems. The successful candidate will be responsible for building and maintaining scalable ML infrastructure and platforms for managing and deploying models in production environment.

Apart from designing and implementing AI services/ML Engineering Platform/Infra for Data processing, Feature Engineering, Model training, and Inference, the incumbent will also be responsible for implementing standard methodologies for ML Ops, Dev Ops including model versioning, monitoring, logging, and automated testing.

The ideal candidate should have a proven ability to deliver products and experience with the full software development lifecycle. They should also have experience working on large-scale, highly distributed services infrastructure and translating business needs into advanced machine learning AI services.

We offer a competitive salary package, estimated at $250,000 per year, depending on experience. Our benefits include comprehensive health insurance, retirement plan, and generous paid time off.

To succeed in this role, you should have a BS or MS degree in Computer Science or relevant technical field involving coding or equivalent practical experience. A minimum of 15+ years of total experience in software development is required. You should also have hands-on experience designing, developing, and maintaining services on a public cloud platform (e.g., AWS, Azure) and knowledge of Infrastructure as Code (IAC) languages, preferably Terraform.


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