Description

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.

Preferred Skills

• Experience with WatsonX.

Key Skills

Education

Any Graduate