Own the complete design, development, and implementation of assigned areas

• Demonstrate strong working knowledge and interest in test automation and automated unit testing

• Apply a security-first mindset in design and development • Ensure compliance with data privacy and security regulations

• Possess foundational knowledge in designing and developing machine learning models and AI solutions to address business problems

• Select appropriate machine learning or deep learning models based on problem context and data availability

• Develop, train, test, and validate models using established methodologies and frameworks

• Collaborate with analytics teams, developers, and domain experts to acquire, clean, and preprocess large datasets

• Conduct feature engineering and exploratory data analysis to ensure data quality and model readiness.
 

Qualifications:
 

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

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

• Solid understanding of Object-Oriented Design and common design patterns.
• Proven experience of at least six plus years in building enterprise-grade applications using Java, Spring Boot, and Angular.

• Working knowledge of any RDBMS, preferably SQL Server.

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

• Proficiency in programming languages such as Python.

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

• Experience with at least one cloud platform is a plus.

• Working knowledge of Power BI and SSAS is a plus.

• Familiarity with Metis is a plus.