Java Full Stack/ Python GenAI Developer
Role Overview
The posting covers Java full-stack development and Python GenAI/ML development.
The role involves application engineering, AI services, APIs, testing, deployment, and production support.
Key Skills for This Role
Full Job Posting
Role overview
The posting covers Java full-stack development and Python GenAI/ML development.
The role involves application engineering, AI services, APIs, testing, deployment, and production support.
Core technologies
- Java, Spring Boot, microservices, Hibernate, Angular, and React.js.
- Python, GenAI or machine learning, and Django.
- FastAPI or Flask, RESTful APIs, NumPy, Pandas, and MLOps.
Java development responsibilities
- Analyze user requirements and envision system features and functionality.
- Design, build, and maintain reusable Java code.
- Identify bottlenecks and bugs and recommend system solutions.
- Support architecture, design, development, validation, and production troubleshooting.
- Create database schemas and implement automated testing and unit tests.
Python GenAI and ML responsibilities
- Design, develop, and maintain Python-based AI, ML, and GenAI services.
- Build and optimize APIs for model inference and GenAI workflows.
- Implement prompting, orchestration, and evaluation for GenAI solutions.
- Develop ML pipelines for data preparation, training, validation, and inference.
- Apply MLOps practices for versioning, CI/CD, monitoring, and reliable deployments.
Candidate requirements
- Knowledge of the listed Java full-stack and Python GenAI/ML technologies.
- In-depth knowledge of design issues, best practices, architectural patterns, and software development processes.
- Solid understanding of object-oriented programming.
- Experience with external and embedded databases and database schema design.
- Excellent customer interfacing, communication, organizational, leadership, analytical, and problem-solving skills.
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