Senior Machine Learning Engineer
Core
Building production-level, cloud-native machine learning solutions and MLOps practices to create intuitive digital products.
Role type
Senior Machine Learning Engineer
Builds
Cloud-native ML solutions and MLOps infrastructure
Domain
Technology / Machine Learning / Software Engineering
Deliverable
production ML models
Required skills
Machine Learning Engineering, Python, MLOps, Gradient Boosting (LightGBM, XGBoost), scikit-learn, PyTorch, MLflow, Time Series Tooling, Feature Engineering, Agentic AI tools (Cursor IDE, GitHub Copilot)
Preferred skills
None stated
Technologies
Python, Django, PyTorch, React.js, Angular.js, Vue.js, Node.js, Ruby, Ruby on Rails, Git, SQL (MySQL, PostgreSQL), Docker, Ansible, Capistrano, MongoDB, Redis, Linux, Mac OS
Responsibilities
Developing production-level ML solutions, implementing MLOps practices, collaborating with engineering and product teams, using Agentic AI tools for code development and debugging.
Seniority
Senior, hands-on IC
