Sr Machine Learning Services Engineer
Tasks
- Analyze and improve performance quality stability and throughput of AI workflows
- Architect and optimize GPU accelerated ML inference pipelines
- Build and maintain CI CD pipelines for ML microservices
- Build end to end agentic pipeline for tech transfer modernization
- Collaborate with research product and engineering teams to productionize ML capabilities
- Design build and operate backend cloud services for ML and generative AI features
- Ensure production standards for observability monitoring logging and incident response
- Lead integration of new ML models into production including model validation regression testing and quality evaluation
- Optimize ML models for production inference including quantization pruning and batching
- Participate in on-call and production support
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Batching | CLIP | CUDA | Computer Vision | Diffusion Models | Docker | GAN | GPU deployment | Generative Models | Graph optimization | Hardware-aware tuning | Inference Optimization | Kubernetes | Language Models | Large Language Models | Model Pruning | Model Quantization | Model Serving | NVIDIA Triton | ONNX | PyTorch | Python | TensorFlow | Torchserve
Education
N/A
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