AI/ML & Analytics Platform Engineer

Education: Bachelor's or Master's in Computer Science, Engineering, Data Science, Mathematics, Statistics, Operations Research, or related field.

Key Responsibilities:

• Contribute to building AI/ML & Analytics platform, services, and tools across dev, test, and prod environments to accelerate model training, inference, and deployment.


• Build capabilities for batch and real-time workflows at scale with flexible deployment strategies for use cases like low-latency predictions and offline inference.


• Improve platform performance, reduce manual intervention, scale compute, and increase deployment efficiency.


• Collaborate with cloud teams to ensure operational effectiveness, reliability, security, and efficiency.
...