onsite
Staff Machine Learning Engineer, Foundation - Qualtrics
ML Engineer
Lead the design and deployment of large‑scale ML models for a global experience‑management platform, leveraging Python, PyTorch, and AWS to deliver high‑performance, production‑ready solutions.
About the role
Key Responsibilities
- Architect and implement end‑to‑end ML pipelines for foundation models, ensuring scalability and reliability on AWS infrastructure.
- Collaborate with cross‑functional teams to translate business requirements into robust ML solutions and feature engineering strategies.
- Drive model performance improvements through experimentation, hyper‑parameter tuning, and advanced techniques such as transfer learning and ensemble methods.
- Establish MLOps best practices, including CI/CD, monitoring, and automated retraining workflows.
- Mentor junior engineers and foster a culture of continuous learning and technical excellence.
Requirements
- 10+ years of experience in machine learning engineering, with a strong background in deep learning frameworks (PyTorch/TensorFlow).
- Proficiency in Python, SQL, and data manipulation libraries (pandas, NumPy).
- Hands‑on experience deploying models at scale on AWS (SageMaker, ECS, EKS, Lambda).
- Solid understanding of distributed systems, data pipelines, and MLOps tooling.
- Excellent communication skills and a proven ability to lead technical initiatives in a fast‑paced environment.
Skills
pythonmachine learningawspytorchmlops