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
Solid foundation in statistical methods and deep learning
Experience managing high-dimensional datasets
Familiarity with cloud platforms and containerized settings Drive innovation in utility operations with your machine learning skills at Themis Intelligence.