SMTS - Java Fullstack Engineer

Essential Job Responsibilities:

• Own the design, development, implementation, and support of assigned application areas.

• Develop and maintain full stack solutions using Java, Spring Boot, and Angular.

• Apply test automation and automated unit testing practices to improve solution quality.

• Build software with a security-first mindset and follow data privacy and security requirements.

• Develop, train, test, and validate machine learning models using established methods and tools.

• Select appropriate machine learning or deep learning approaches based on the problem and available data.

• Collaborate with analytics teams, developers, and subject matter experts to prepare and refine datasets for model development.

• Perform feature engineering and exploratory data analysis to support data quality and model readiness.

• Use AI tools to speed up coding, testing, analysis, and troubleshooting in day-to-day work while verifying outputs for accuracy and compliance.

Additional Job Responsibilities:

• Contribute to solution design discussions and technical implementation planning.

• Support efforts to improve application reliability, maintainability, and scalability.

• Partner with team members to identify opportunities for process and workflow improvements.

• Share knowledge and best practices with colleagues through reviews and collaboration.

• Assist in evaluating tools and technologies that support analytics and AI-enabled solutions.

• Contribute to documentation for technical designs, implementations, and support processes.

Expected Education & Experience:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

• 6+ years of experience building enterprise applications using Java, Spring Boot, and Angular.

• Strong proficiency in Java, Spring Boot, and Angular.

• Solid understanding of object-oriented design and common design patterns.

• Working knowledge of an RDBMS, preferably SQL Server.

• Experience in AI/ML engineering with a strong portfolio of relevant projects.

• Proficiency in Python or another programming language used for data and model development.

• Good understanding of machine learning algorithms, statistical modeling, and data analysis techniques.

• Experience with at least one cloud platform is preferred.

• Working knowledge of Power BI and SSAS is preferred.

  • Familiarity with Metis is preferred.