Design, develop, and implement advanced LLM applications using state-of-the-art models and techniques
Lead research initiatives in Retrieval-Augmented Generation (RAG) systems, improving the accuracy and efficiency of information retrieval and generation
Conduct experiments on training and fine-tuning large language models for specific domains and tasks
Collaborate with cross-functional teams to integrate LLM solutions into production systems
Stay up-to-date with the latest advancements in LLMs, NLP, and deep learning, and apply new techniques to ongoing projects
Mentor junior team members and contribute to the overall growth of the AI research team
Publish research findings in top-tier conferences and journals
Requirements
2+ years of experience in NLP, deep learning, and building LLM applications
Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch or TensorFlow
Extensive experience with transformer-based models (e
g
, BERT, GPT, T5) and their applications
Demonstrated expertise in developing RAG systems and improving their performance
Proficiency in training and fine-tuning large language models, including techniques like few-shot learning and prompt engineering
Strong background in NLP techniques, including text preprocessing, tokenization, and embedding methods
Familiarity with MLOps practices and tools for model versioning, experiment tracking, and deployment
Excellent problem-solving skills and ability to think creatively about AI solutions
Strong communication skills and ability to explain complex technical concepts to both technical and non-technical audiences
IMMEDIATE JOINERS ONLY NEED APPLY
Preferred Qualifications
Experience with efficient training techniques for large models, such as distributed training and mixed-precision training
Knowledge of model compression techniques, including quantization and distillation
Familiarity with ethical AI practices and bias mitigation in language models
Experience with multi-modal models combining text with other data types (e
g
, images, audio)
Contributions to open-source NLP or LLM projects
Good to have Publication record in top-tier AI conferences (e
g
, NeurIPS, ICML, ACL, EMNLP)
If youre passionate about advancing the field of large language models and have a track record of building innovative AI solutions, wed love to hear from you
Join us in shaping the future of AI in ERP industry