Location
New Delhi | India
Job description
As part of our dynamic AI team youll 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 RetrievalAugmented Generation (RAG) models along with exploring the innovative applications of LangChain. Youll leverage these technologies to drive forward our AI capabilities crafting solutions that push the boundaries of whats 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 cuttingedge AI technologies upholding the highest quality standards in product execution.
- Finetune 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 AIs creative capabilities.
- Collaborate with fellow specialists to share insights findings and successes fostering a culture of knowledge exchange and innovation.
- Keep uptodate 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 finetune model designs and hyperparameters ensuring superior model performance with continuous monitoring using KPIs and metrics.
Requirements
- Possess a Bachelors or Masters 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 deeplearning 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 usercentric products leveraging ML/AI technologies with a good understanding of predictive modeling metalearning 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 cuttingedge projects in AI and analytics leveraging your expertise to create impactful data solutions.
Salary: 30L 35L remote job in India
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