Senior ML Engineer, Applied Machine Learning

Proven experience in developing, optimizing, and deploying ML systems in production environments. Strong background in building and managing end-to-end training pipelines for ML models. Extensive knowledge and hands-on experience in fine-tuning large language models. Skilled in ML frameworks such as TensorFlow, PyTorch, or similar tools. Proficient in Python with a focus on writing efficient, clean, and maintainable code. Ability to distill complex ML concepts for both technical and non-technical audiences. Bachelor’s or Master’s degree in Machine Learning, Computer Science, Data Engineering, or a related field. A track record of delivering and implementing machine learning solutions that have successfully driven value.

Architect, Build, and Optimize ML Systems Training Pipeline Development Fine-Tuning Large Language Models (LLMs) Feedback Systems Design Cross-Functional Collaboration Stay Current with ML Advancements Mentorship and Knowledge Sharing Technical Communication