Senior ML Engineer, Applied Machine Learning

Advance ML systems, focusing on model training, pipeline development, and the fine-tuning of large language models (LLMs) to ensure peak performance. Contribute directly to the continuous improvement of ML models, working to maximize impact and align with evolving business needs. Architect, build, and optimize ML systems, develop and deploy robust ML models that deliver high-impact results for real-world applications. Design and implement efficient, scalable pipelines to train and retrain ML models, ensuring they meet business needs. Continuously fine-tune LLMs to align with specific enterprise requirements, enhancing accuracy, relevance, and performance. Implement and refine feedback loops to iteratively improve the effectiveness of ML models over time.