AI Model Architect

Role Overview

We are seeking a highly skilled and innovative AI Model Architect to lead the development and refinement of our core AI models. You will be responsible for the post-training optimization, fine-tuning, and reinforcement learning strategies that drive the performance and efficiency of our AI-powered automation solutions. This role is critical in ensuring our models are robust, scalable, and deliver exceptional accuracy and value to our clients. You will be a key technical leader, shaping the future of our AI capabilities.

Qualifications

• 5+ years of experience in AI / Machine Learning model development and deployment.
• Deep understanding of foundational model architectures (e.g., Transformers, LLMs, Diffusion Models).
• Proven experience in post-training techniques such as quantization, pruning, and knowledge distillation.
• Strong expertise in fine-tuning large language models (LLMs) and other foundational models for specific downstream tasks.
• Solid understanding of reinforcement learning algorithms (e.g., Proximal Policy Optimization, Deep Q-Networks) and their applications.
• Proficiency in model evaluation metrics and benchmarking techniques.
• Strong programming skills in Python and experience with deep learning frameworks (TensorFlow, PyTorch).
• Experience with cloud-based machine learning platforms (AWS SageMaker, Google Vertex AI, Azure Machine Learning).
• Master’s or PhD in Computer Science, Artificial Intelligence, or related field.
• Excellent communication and collaboration skills.
• Experience with distributed training and model parallelism.
• Experience with model serving and deployment infrastructure (e.g., TensorFlow Serving, TorchServe).
• Experience with data augmentation and synthetic data generation techniques.
• Publications in leading AI / Machine Learning conferences or journals.
• Experience with techniques to improve model interpretability and explainability.