AI Engineer

Overview

FutureAI has built the first AI model for generative applications and interfaces. Now, we are seeking AI Engineers to scale our model and architecture to handle billions of users. You should feel comfortable training and implementing AI models based on business needs, building new models and collaborating with data engineers, software engineers, and other stakeholders. Experience with PyTorch is welcome, but not required.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Solid understanding of machine learning concepts, algorithms, and techniques.
• Experience in building end-to-end ML pipelines and deploying models to production environments.
• Proficiency in programming languages such as Python and familiarity with ML libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.

Responsibilities

• Utilize your expertise with PyTorch to build and train AI models tailored to specific business needs.
• Collaborate with data scientists, software engineers, and other stakeholders to gather requirements and define project objectives~.
• Implement best practices for model versioning, monitoring, and maintenance to ensure model performance and reliability in production environments.
• Conduct experiments and perform model tuning and hyperparameter optimization to improve model accuracy and efficiency.