Manage and coordinate 11 artificial intelligence initiatives to optimize commercial, financial, and operational processes. Ensure project milestones, risks, and deliverables are tracked while coordinating between technical teams and business stakeholders.
Implement Databricks Asset Bundles in production environments and develop and maintain Databricks pipelines using Python and PySpark. Write and optimize SQL queries, design data models on Delta Lake, and implement CI/CD automation for Databricks deployments.
The Data Engineer will implement Databricks Asset Bundles in production environments and develop data pipelines using Python and PySpark. Additionally, the role involves optimizing SQL queries, designing data models on Delta Lake, and automating CI/CD deployments.
The roles involve managing cybersecurity for networks, infrastructure, applications, and data, as well as defining security architectures. Responsibilities also include overseeing identity and access governance, risk management, compliance, and project management.
Integrate data from multiple systems and develop distributed processing pipelines using Apache Spark and PySpark. Implement MLOps practices, train predictive models, and build intelligent solutions using LLMs and chatbots.
Design, build, and evolve end-to-end web product functionalities. Utilize agentic AI tools to accelerate development while maintaining high standards of code quality, security, and maintainability.
Analyze organizational processes from a business perspective and manage communication between multidisciplinary teams. Lead the implementation of projects utilizing the latest AI technologies and manage continuous improvement processes.
