Lead AI research initiatives at Galileo, focusing on generative AI and machine learning models. Collaborate with cross-functional teams to enhance AI-driven products and tools in an innovative environment.
Responsibilities
Lead AI research initiatives, focusing on model architectures and ML algorithm deployment.
Collaborate with cross-functional teams to refine AI products and tools.
Drive the evolution of generative AI applications and contribute to transformation projects.
Present findings and research ideas effectively to diverse stakeholders.
Requirements
7+ years of experience in Applied AI Research
Deep familiarity with Transformers, LLMs / SLMs in theory with 2+ years of practical experience
Deep familiarity with fine tuning techniques - SFT, LoRa, RL etc.
Understanding of advanced evaluation techniques in Machine Learning
Working experience with Pytorch, TensorFlow, Keras, or other Deep Learning frameworks
Ability to communicate professionally and explain research ideas to a cross-functional team of Product Managers, Engineers, and UX Designers.
Strong ML problem-solving skills, ability to do independent experiments (a self-starter mindset), but also collaborate in a team environment.
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