Machine Learning Engineer
Role Overview:
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross-functional teams to identify opportunities where ML can drive product value, architect robust model-centric systems, and ensure their seamless integration into real-world applications. The role requires a strong balance between theoretical understanding and engineering execution, with a focus on building reliable, maintainable, and high-impact AI-driven features that align with Nace.AI’s strategic objectives.
Key Responsibilities:
Design, build, and maintain end-to-end ML systems, including synthetic data pipelines, model training, debugging, and performance evaluation.
Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model generalization and efficiency.
Improve existing Nace.AI models by incorporating advancements from recent ML research.
