Join Planitar as an MLOps Engineer, focusing on building infrastructure for AI models in a remote or on-site setting. Develop advanced systems that enhance property technology applications across multiple industries.
As Planitar's first MLOps Engineer, you will be responsible for the end-to-end configuration of the AI platform that transforms 360° scans into precise floor plans. Your expertise will help automate and optimize the training pipelines, ensuring continuous model evaluation and deployment for superior quality assurance. You will collaborate closely with a small research team, managing complex GPU computing requirements to deliver actionable insights.
Key Responsibilities:
- Build automated evaluation harness for model scoring
- Automate data generation and training pipelines
- Set up experiment tracking and model registry
- Package and deploy models in the drafting application
- Monitor model quality and performance in production
Requirements:
- 4+ years in MLOps or ML engineering
- Proficient in Python and C++ codebases
- Experience with PyTorch and ONNX
- Familiar with Docker and CI/CD practices
- Comfortable managing GPU compute resources
Drive innovation in AI and spatial data systems as an MLOps Engineer with Planitar.
MLOps Engineer at Planitar in Alton employer: Planitar-Inc.
At Planitar, we pride ourselves on being an exceptional employer that fosters innovation and teamwork in a dynamic hybrid work environment. Our commitment to employee growth is evident through professional development incentives and comprehensive health benefits, all backed by the global expertise of REA Group. Join us in shaping the future of property technology while enjoying a culture that values integrity and accountability.
