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ML Inference Optimization Specialist
vor 2 Monaten
We are seeking an experienced and skilled ML Inference Optimization Specialist to join our team at JetBrains AI. In this role, you will play a crucial part in deploying and optimizing machine learning models, ensuring they run efficiently and effectively in production environments.
Key Responsibilities- Optimize and run machine learning models for inference in high-load production environments.
- Collaborate with machine learning engineers to develop scalable and efficient pipelines.
- Monitor and troubleshoot machine learning models in production, ensuring their reliability and performance.
- Contribute to the development of best practices for machine learning deployment and inference.
- Proven experience in deploying machine learning models to production, including experience with model optimization techniques (e.g., quantization, knowledge distillation).
- Strong programming skills in Python and familiarity with other programming languages (e.g., C++, Java).
- Proficiency with machine learning frameworks such as PyTorch and common libraries for NLP.
- Experience with cloud platforms like AWS, Google Cloud, or Azure for machine learning deployment.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Advanced knowledge of model serving frameworks such as vLLM, TensorRT-LLM, OpenVINO, or similar.
- Experience with profiling machine learning and MLOps code to identify bottlenecks and achieve better performance.
- Experience with MLOps tools and practices, including CI/CD for machine learning.
- Expertise in optimizing models for latency and throughput in production environments.
- Previous work experience with NLP and LLMs.
- Git for source control management.
- AWS and GCP for cloud computing infrastructure.
- Python, PyTorch, and Hugging Face as our machine learning development stack.
- TeamCity as a CI automation system.
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