01Overview
Java Full Stack/ Python GenAI Developer Skill 1: Java, Spring boot, Microservices, Hibernate, Angular, React.js Skill 2 : Python, GenAI/ML, Django Excellent customer interfacing skills. Excellent written and verbal communication skills. Strong attention to detail and outstanding analytical and Problem-solving skills. Excellent organizational and leadership skills. Java Full Stack Developer - Analyzing user requirements, envisioning system features and functionality. Design, build, and maintain efficient, reusable, and reliable Java codes by setting expectations and features priorities throughout development life cycle Identify bottlenecks and bugs, and recommend system solutions by comparing advantages and disadvantages of custom development Contributing to team meetings, troubleshooting development and production problems across multiple environments and operating platforms Understand Architecture Requirements and ensure effective Design, Development, Validation and Support activities In-depth knowledge of design issues and best practices Solid understanding of object-oriented programming Familiar with various design, architectural patterns and software development process. Experience with both external and embedded databases Creating database schemas that represent and support business processes Implementing automated testing platforms and unit tests Python _GenAI/ML Developer- Design, develop, and maintain Python-based AI/ML and GenAI services aligned to product and business needs. Build and optimize RESTful APIs using FastAPI/Flask for model inference and GenAI workflows. Implement GenAI solutions (prompting, orchestration, evaluation) and integrate them into applications responsibly. Develop and maintain ML pipelines for data preparation, training, validation, and inference using NumPy and Pandas. Apply MLOps practices to enable reproducible experiments, versioning, CI/CD, monitoring, and reliable deployments. Collaborate with stakeholders to translate requirements into technical designs, estimates, and deliverables. Write clean, testable code; conduct reviews; and ensure performance, security, and scalability standards are met. Troubleshoot production issues, improve observability, and continuously enhance model/service quality. .
