AI Model Specialist
6 days ago
We are seeking an experienced AI Model Specialist to join our team at Weekday AI. This role involves designing, fine-tuning, and deploying large language models (LLMs) that drive our AI-powered solutions.
About the Role
- Collaborate with cross-functional teams to build intelligent, scalable, and efficient systems, enhancing user interactions with our Universal AI Teammate.
- Key Responsibilities:
• Model Development: Fine-tune and optimize LLMs for various applications and use cases.
• Pipeline Design: Build and maintain robust data pipelines for preprocessing, cleaning, and managing datasets used in training and inference.
• Integration: Work closely with backend engineers to seamlessly integrate LLMs into our product infrastructure, ensuring reliability and scalability.
• Performance Optimization: Implement strategies to enhance efficiency, response time, and accuracy of models in production.
• Research & Innovation: Stay updated on cutting-edge advancements in NLP and deep learning, applying new techniques to improve our AI platform.
• Evaluation & Testing: Develop metrics and benchmarks to assess model performance and ensure high-quality outcomes.
Requirements
- Experience: 1+ years of hands-on experience in NLP and large-scale language models.
- Technical Skills:
- Strong proficiency in Python and AI/ML frameworks like TensorFlow and PyTorch.
- Experience with transformer-based architectures (GPT, BERT, LLaMA).
- Familiarity with tools such as Hugging Face, LangChain, or similar libraries.
- Understanding of MLOps for deploying and managing models in production.
- Data Expertise: Experience working with large datasets and applying data preprocessing techniques.
- Problem-Solving: Ability to analyze and solve complex technical challenges related to LLMs.
- Collaboration Skills: Comfortable working with cross-functional teams, including product managers, backend engineers, and designers.
- Research Mindset: Passion for staying ahead of the curve with the latest AI and NLP trends.
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