AI Model Architect

1 day ago

Gurugram, India DeepRunner AI Full time

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.

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