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AI/ML Development & Deployment:
- Work with the software team to integrate models into production applications.
- Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.
- Optimize model performance in terms of accuracy, speed, and scalability.
Data Science & Analytics:
- Develop statistical models and algorithms to solve complex business problems.
- Work with structured and unstructured data from various sources, ensuring data quality and integrity.
Required Skills:
- Strong proficiency in Python, and AI/ML frameworks (PyTorch, OpenCV, Scikit-Learn, etc.).
- Hands-on experience with big data technologies and data pipeline development (Databricks).
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Loram
Loram provides advanced insights into inspection data collected for customers worldwide. The company has a small, collaborative team managing the entire project lifecycle, offering employees an outsized impact on inspections and maintenance recommendations.