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Large Language Model Optimization Engineer
1 week ago
Job Description:
PhoQtek labs private limited seeks an experienced LLM Engineer to lead the deployment and optimization of self-hosted Large Language Models (LLMs).
Key Responsibilities:
- Lead the design and implementation of high-performance LLM infrastructure.
- Optimize LLMs for efficient inference and reduced memory usage.
- Implement model quantization techniques for optimal performance.
- Develop APIs for model inference using cutting-edge frameworks.
- Automate model deployment using Docker, Kubernetes, and CI/CD pipelines.
- Fine-tune and train models using advanced methods.
- Collaborate with cross-functional teams to integrate LLMs into applications.
Requirements:
- 3+ years of experience in AI/ML model deployment.
- Strong knowledge of Python, PyTorch, and TensorFlow.
- Hands-on experience with LLM inference frameworks.
- Experience with NVIDIA GPU acceleration.
- Proficiency in Linux, Docker, and Kubernetes.
- Knowledge of security best practices for AI deployments.
- Experience with distributed computing and API development.
