Job Decsription:
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Design build and maintain end-to-end ML pipelines for experiment tracking feature management model versioning and retraining.
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Develop and deploy scalable APIs for model inference and AI services.
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Implement and optimize LLM training fine-tuning and inference workflows.
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Work extensively on distributed training and serving of large-scale models using GPU architectures.
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Apply model and data parallelism using frameworks such as DeepSpeed and vLLM.
-
Optimize models to improve latency accuracy and cost efficiency.
-
Implement LLMOps and DevOps best practices for production-grade AI systems.
-
Containerize and orchestrate applications using Docker and Kubernetes.
-
Integrate and manage LLM orchestration frameworks like LangChain LangGraph LangFlow Flowise and LlamaIndex.
-
Monitor and maintain AI systems using logging and observability tools.
Job Decsription: Design build and maintain end-to-end ML pipelines for experiment tracking feature management model versioning and retraining. Develop and deploy scalable APIs for model inference and AI services. Implement and optimize LLM training fine-tuning and inference workflows....
Job Decsription:
-
Design build and maintain end-to-end ML pipelines for experiment tracking feature management model versioning and retraining.
-
Develop and deploy scalable APIs for model inference and AI services.
-
Implement and optimize LLM training fine-tuning and inference workflows.
-
Work extensively on distributed training and serving of large-scale models using GPU architectures.
-
Apply model and data parallelism using frameworks such as DeepSpeed and vLLM.
-
Optimize models to improve latency accuracy and cost efficiency.
-
Implement LLMOps and DevOps best practices for production-grade AI systems.
-
Containerize and orchestrate applications using Docker and Kubernetes.
-
Integrate and manage LLM orchestration frameworks like LangChain LangGraph LangFlow Flowise and LlamaIndex.
-
Monitor and maintain AI systems using logging and observability tools.
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