(Summary generated by AI based on the full job description)
The project targets financial systems supporting investment decision-making and asset management. The tech stack includes Python, PySpark, SQL, Azure, Databricks, Docker, Kubernetes/AKS, Azure OpenAI, Azure Machine Learning and front-end tools like Streamlit, React, PowerBI. Responsibilities include developing production-grade software and services, implementing scalable data processing and AI/ML integrations, designing cloud solutions, owning DevOps/CI/CD, monitoring and maintaining production workloads, ensuring data quality, security and compliance, and collaborating with stakeholders and technical teams.




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