Teams at Solution Design Group

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.