You will design, implement, and optimize state-of-the-art AI models with a focus on NLP tasks.
Responsibilities
Design and implement AI models using PyTorch, TensorFlow, and Scikit-learn, focusing on NLP tasks like text classification, sentiment analysis, and NER.
Fine-tune and adapt pre-trained Large Language Models (LLMs) to specific domains and applications.
Preprocess and analyze large datasets to ensure high-quality training input in collaboration with data engineers.
Implement robust evaluation metrics and optimize models for speed, memory usage, and scalability.
Maintain clear documentation for code, models, and processes while communicating findings to stakeholders.
Required Skills
3+ years of experience in professional environments.
Proven experience with Generative AI, LLMs, Prompt Engineering, and LLM fine-tuning.
Demonstrated history of developing custom models and making open-source contributions.
Proficiency in Python and deep learning frameworks.
Strong expertise in algorithmic development for language generation and NLP.
Experience with large-scale data processing and distributed computing.
Solid understanding of machine learning principles and deep learning.
Ability to handle data processing and complex analysis.