What you will do:

• Model Development: Design, develop, and deploy efficient, scalable, and accurate large-scale language models.
• Research and Innovation: Conduct research and experimentation to push forward the understanding and application of LLMs across different domains.
• Optimization: Enhance the performance, accuracy, and efficiency of existing language models while reducing resource consumption.
• Collaboration: Work closely with data scientists, engineers, and product teams to seamlessly integrate language models into our offerings.
• Knowledge Upkeep: Stay informed about the latest AI/ML technologies and methodologies to continuously refine our approaches.
• Best Practices: Implement industry-leading practices for data management, model training, and development, ensuring the creation of high-quality models.
• Technical Proficiency: Demonstrate expertise in multiple programming languages and frameworks relevant to AI/ML, such as Python, TensorFlow, Py Torch, and more, ensuring the ability to write clean, efficient, and reusable code.

What makes you a great fit:

• Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field.
• Experience : Solid experience in developing and deploying large language models, with a comprehensive understanding of NLP and neural network architectures.
• Programming Skills : Strong proficiency in Python and familiarity with AI/ML frameworks like TensorFlow and Py Torch.
• Tech Savvy : Experience with cloud computing services (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Data Handling : Knowledge of data preprocessing, model training, evaluation, and deployment best practices.'
• Ability to work effectively in a team, communicate complex ideas clearly, and contribute to a collaborative environment.