Job Overview
- Design, develop, and optimize machine learning models and recommendation systems for real-world business applications.
- Develop recommendation solutions focused on relevance, personalization, and measurable business impact.
- Work with large datasets using Python and SQL to explore data, develop features, train models, and evaluate results.
- Integrate LLM-based capabilities and services into existing or new machine learning solutions when appropriate.
- Apply MLOps practices to support the deployment, monitoring, maintenance, and continuous improvement of machine learning models.
- Take data science solutions from experimentation and prototyping through production.
- Collaborate with Data Scientists, Data Engineers, Software Engineers, and other stakeholders to deliver production-ready solutions.
- Leverage cloud technologies and tools such as Docker and Kubernetes to support scalable machine learning applications.
- Evaluate model performance, identify opportunities for improvement, and communicate technical decisions and trade-offs.
- Contribute to best practices around machine learning development, deployment, reproducibility, and productionization.
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