Research, develop, and implement state-of-the-art techniques in the field of Large Language Models (LLM) and Generative AI.
Collaborate with cross-functional teams to design and execute projects that leverage LLMs for various applications, such as text generation, summarization, translation, and more.
Stay up-to-date with the latest advancements in AI, machine learning, and generative models, and apply this knowledge to enhance existing models and methodologies.
Analyze and fine-tune model performance through experimentation, iteration, and data-driven insights.
Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
Contribute to research publications, whitepapers, and presentations to showcase the organization's expertise in the field.
Collaborate with product teams to integrate AI solutions into real-world applications and platforms.
Requirements
8+ years impactful experience in Al-relevant fields, such as machine learning, deep learning, multi-agent systems, planning, and large language models.
Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
Proven expertise in working with Large Language Models, particularly GPT (Generative Pre-trained Transformer) variants.
Strong understanding of generative models, deep learning, and natural language processing techniques.
Demonstrated ability to drive research projects from ideation to implementation, producing tangible outcomes.
Excellent problem-solving skills and a creative mindset to address complex AI challenges.
Strong communication skills to effectively collaborate with both technical and non-technical stakeholders.
Published research papers or contributions to the AI community would be a significant plus.
Experience with deploying AI models into production environments is desirable.
