Journeyman Infrastructure Engineer supporting the delivery and enhancement of enterprise data and analytics products. Working with government partners and teams on scalable, production - ready solutions.
About the role
- Machine Learning Infrastructure Engineer optimizing scalable infrastructure for ML at Gridmatic startup. Focus on machine learning, distributed systems, and renewable energy transformation.
Responsibilities
- Own and optimize scalable, robust distributed infrastructure for ML training
- Optimize throughput and cost across clusters and clouds
- Improve efficiencies by optimizing latency and memory consumption
- Help define long-term vision for ML platform
- Mentor junior engineers and contribute to team culture
Requirements
- 3+ years of experience in machine learning and software engineering
- Strong understanding of codebases and ability to write scalable code
- Experience in researching and implementing deep learning models
- Knowledge of GPU clusters and core libraries (PyTorch, PyTorch Lightning, Ray)
- Familiarity with large-scale data storage (Zarr, SQL, feature stores)
- Independence and ownership in engineering robust systems
- Enthusiasm for renewable energy and a willingness to learn
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