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Design, implement, train, validate, and deploy machine learning models at enterprise scale. Collaborate with data engineers and software engineers to preprocess data, perform feature engineering, evaluate model performance, and integrate models into production. Continuously improve models and adopt new ML and cloud data tools to solve business problems.

Design and build enterprise web applications using Python backends and React front ends. Develop and consume APIs and microservices, apply cloud and DevOps practices (CI/CD, containers), collaborate with customers and cross-functional teams, and continuously learn and improve using AI-assisted development tools.

The Data Engineer will design databases, develop ETL tools, optimize SQL, and work with cloud platforms while ensuring data performance for clients.

Serve as a Business Systems Analyst / Product Owner to discover requirements, write user stories, prioritize product backlogs, and partner with developers and stakeholders to deliver enterprise software. Analyze data using SQL and BA tools, build customer relationships, and leverage AI to improve delivery and productivity across consulting engagements.