Role: MLOps Engineer
Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite)
Duration: Contract
- Knowledge of MLOps platforms
- Good experience with Sage Maker
- Proven 8+ years of professional experience across MLOps, DevOps, or similar disciplines.
- Knowledge in the life cycle management of Machine Learning models.
- Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- An in-depth understanding of contemporary software engineering techniques.
- Docker, Kubernetes, and/or Python or R expertise.
- Expertise in cloud computing systems, including AWS, Azure, and GCP.
- Working experience with version control systems such as Git, automation tools, and CI/CD pipelines