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AI Model Architect
Engineering
Full-time
Silicon Valley / Athens
Engineering Department
Posted: June 2025
About the Role
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.
Key Responsibilities
- Lead development and deployment of AI/Machine Learning models
- Implement post-training optimization techniques including quantization, pruning, and knowledge distillation
- Fine-tune large language models (LLMs) and foundational models for specific downstream tasks
- Apply reinforcement learning algorithms and evaluate model performance using advanced metrics
- Design and implement model serving and deployment infrastructure on cloud platforms
- Develop data augmentation and synthetic data generation techniques to improve model robustness
- Implement distributed training and model parallelism strategies for large-scale models
Requirements
Essential Requirements:
- • 5+ years of experience in AI/Machine Learning model development and deployment
- • Deep understanding of foundational model architectures (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
- • Solid understanding of reinforcement learning algorithms (Proximal Policy Optimization, Deep Q-Networks)
- • 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)
- • Excellent communication and collaboration skills
Preferred Qualifications:
- • Master's or PhD in Computer Science, Artificial Intelligence, or related field
- • Experience with distributed training and model parallelism
- • Experience with model serving and deployment infrastructure (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
What We Offer
- Competitive salary with equity participation
- Comprehensive health, dental, and vision coverage
- Flexible work arrangements and remote options
- Professional development and conference attendance
- Work with cutting-edge AI technology
Ready to Apply?
Send your resume and cover letter to join our team
About DeepRunner AI
We're revolutionizing the enterprise workplace with AI-powered automations that super-power human workers.
50+ Employees
AI Technology
Silicon Valley & Athens