As part of our dynamic AI team, you'll be diving deep into the world of advanced natural language processing and machine learning technologies. Your role centers around enhancing, developing, and deploying Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) models, along with exploring the innovative applications of LangChain. You'll leverage these technologies to drive forward our AI capabilities, crafting solutions that push the boundaries of what's possible in content generation, information retrieval, and conversational AI.

Tasks

• Optimize existing language models for generative AI tasks, focusing on enhancing their application across various platforms.
• Work in tandem with product teams to seamlessly integrate cutting-edge AI technologies, upholding the highest quality standards in product execution.
• Fine-tune and deploy LLMs, ensuring they are meticulously adjusted and ready for release.
• Engage in ongoing research and application of new methodologies to bolster the efficiency and output quality of our LLM operations.
• Design and develop LLMs dedicated to a range of content generation tasks, pushing the boundaries of AI's creative capabilities.
• Collaborate with fellow specialists to share insights, findings, and successes, fostering a culture of knowledge exchange and innovation.
• Keep up-to-date of the latest trends and breakthroughs in NLP and large language model technology, incorporating novel approaches to refine our models.
• Lead experiments and analyses to fine-tune model designs and hyperparameters, ensuring superior model performance with continuous monitoring using KPIs and metrics.

Requirements

• Possess a Bachelor’s or Master’s degree in Engineering, Computer Science, Machine Learning, Statistics, Applied Mathematics, or related fields, with a strong preference for candidates with Ph.D. experience.
• Have a minimum of 4 years of experience in data science roles focused on large language models, including at least 2 years dedicated to developing deep-learning models.
• Showcase proven expertise in working with deep learning frameworks and LLMs, with a strong foundation in prompt engineering, tokenization, embeddings, model optimization, and deployment strategies.
• Demonstrate previous involvement in creating user-centric products leveraging ML/AI technologies, with a good understanding of predictive modeling, meta-learning, and transfer learning.
• Exhibit strong analytical skills with the ability to manage large datasets and apply various deep learning architectures effectively.

Join us to contribute to cutting-edge projects in AI and analytics, leveraging your expertise to create impactful data solutions.

Salary: 30L - 35L, remote job in India