ML Platform Engineer

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Client's exp. Is a plus.

Location : [Location / Remote Option]

Key Responsibilities :

• Design and implement scalable model serving platforms for both batch and real-time inference
• Build model deployment pipelines with automated testing and validation
• Develop monitoring, logging, and alerting systems for ML services
• Create infrastructure for A / B testing and model experimentation
• Implement model versioning and rollback capabilities
• Design efficient scaling and load balancing strategies for ML workloads
• Collaborate with data scientists to optimize model serving performance

Technical Requirements :

Nice to Have :

TorchServe for PyTorch models

Model quantization (INT8, FP16)

Pre / post-processing pipeline optimization