AI Engineer for Generative Models
1 day ago
Job Summary
We are seeking a highly skilled AI engineer to develop and optimize generative models using PyTorch. This role is ideal for someone passionate about advancing the capabilities of Generative AI, building and fine-tuning large language models (LLMs), and implementing solutions using PyTorch.
Responsibilities
* Develop and fine-tune state-of-the-art LLM architectures using PyTorch for various NLP and generative tasks, including text generation, question answering, and language translation.
* Fine-tune pre-trained language models, optimize performance, and reduce latency while maintaining high-quality output.
* Collaborate with data scientists to preprocess, curate, and manage large-scale datasets required for training and fine-tuning generative models.
* Conduct experiments to benchmark model performance and iterate based on findings, ensuring models meet accuracy and efficiency standards.
* Work closely with cross-functional teams, including ML engineers, software developers, and product managers. Document model development, training, and deployment workflows.
* Help deploy models to production and ensure the scalability, robustness, and efficiency of the AI systems.
Requirements
* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
* 3+ years of experience working with GenAI or LLMs and extensive hands-on experience with PyTorch.
* Proficiency with PyTorch for developing, training, and fine-tuning large-scale neural networks.
* Deep understanding of LLM architectures (e.g., Transformer, GPT, BERT, T5) and generative models.
* Experience with data engineering and preprocessing for large-scale model training.
* Knowledge of deployment frameworks (e.g., ONNX, TorchScript) and cloud-based model deployment (AWS, GCP, Azure).
* Familiarity with MLOps tools and best practices.
Estimated Salary: $140,000 - $180,000 per year.
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