Salary is 155k to 160k + bonus
- Design and develop AI-powered solutions using Python, machine learning, and large language model technologies to address business and operational needs.
- Build and integrate LLM-based applications, including context engineering, prompt workflows, and AI-assisted analytics capabilities.
- Develop data pipelines and transformation workflows using Python, SQL, dbt, and cloud-based technologies to prepare high-quality data for AI and analytics applications.
- Develop predictive models using machine learning techniques such as Random Forest, clustering, time-series forecasting, NLP, and recommendation algorithms.
- Integrate AI solutions with analytics platforms and business intelligence tools to enable self-service insights and automated decision-making.
- Process and analyze large-scale datasets using AWS services, Spark, and Python to identify trends, develop features, and support data-driven solutions.
- Partner with business, clinical, operations, and technical stakeholders to translate complex requirements into scalable AI and analytics solutions.
- Evaluate and optimize AI models and data workflows for accuracy, performance, scalability, and practical business impact.