Description

You will develop, train, and deploy generative AI models, including LLMs and text-to-image architectures.

This role is on-site.

Responsibilities

• Train and evaluate generative models using large datasets.
• Scale models and identify technical limitations in performance.
• Troubleshoot and debug code to ensure high-quality results.
• Deploy models using cloud infrastructure.
• Collaborate with engineers and stakeholders to develop solutions.

Required Skills

• 5+ years of experience developing and training AI/ML models.
• Proficiency in Python and SQL.
• Experience with state-of-the-art generative AI models (GPT, LLaMA, Gemini, DALLE).
• Knowledge of deep learning, natural language processing, and computer vision.
• Experience training large-scale models on high-performance computing clusters.
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• Bachelor's or Master's degree in Computer Science or Engineering.

Preferred Skills

• Experience scaling generative models and deploying them in production.
• Familiarity with cloud-based ML deployment (Azure ML or AWS SageMaker).
• Experience with version control systems like Git.

Key Skills

Education

Bachelor's or Master's degree in Computer Science, Engineering