Senior AI Model Architect
2 days ago
We are seeking a highly skilled AI Engineer to join our team at Talent Divas Consulting. The ideal candidate will have expertise in PyTorch and experience with GenAI and LLMs.
About the Role:
This is an exciting opportunity for someone passionate about advancing the capabilities of Generative AI, building and fine-tuning large language models (LLMs), and implementing solutions using PyTorch. You will work alongside AI scientists and engineers to develop, optimize, and deploy state-of-the-art generative models that impact various applications such as conversational AI, content generation, and more.
Key Responsibilities:
* Develop and implement state-of-the-art LLM architectures using PyTorch for various NLP and generative tasks, including text generation, question answering, and language translation.* Fine-tune and Optimize Models: 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.* Stay Current with Research: Keep up-to-date with the latest advancements in AI/ML, especially related to GenAI, LLMs, and PyTorch, and integrate new techniques into model development.
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.* Strong problem-solving ability, a collaborative mindset, excellent communication skills, and a passion for generative AI.
Salary: $150,000 - $200,000 per year
Location: Remote
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