Join Themis Intelligence as a Senior Machine Learning Engineer in this hybrid position focused on industry-leading intelligence systems. Utilize your expertise in time-series and geospatial data for impactful solutions. In this crucial role at Themis Intelligence, you will help transform complex operational data into actionable insights.
Your responsibilities will cover the entire lifecycle of machine learning systems, from architecture design through to deployment. This position invites high levels of collaboration, focusing on developing reliable models that perform effectively in real-world applications. Key Responsibilities:
- Develop and implement machine learning models for utility operations
- Architect scalable and maintainable ML systems
- Create and maintain comprehensive MLOps pipelines
- Deploy models across varied infrastructures ensuring reliability
- Monitor and evaluate model performance rigorously Requirements:
- Bachelor's degree or equivalent in a technical field
- 3+ years of qualified experience in applied AI
- Strong foundation in statistical methods and deep learning
- Experience managing high-dimensional datasets
- Familiarity with cloud platforms and containerized environments Drive innovation in utility operations with your machine learning skills at Themis Intelligence.