Java and AI

You are a highly motivated Engineer with strong Java development experience and exposure to AI/ML technologies. You will design, develop, and deploy scalable applications by integrating AI capabilities with robust Java-based backend services. - Design, develop, and maintain high-performance Java-based applications and microservices. - Integrate AI/ML models and services into enterprise applications. - Develop RESTful APIs and backend services using Java frameworks. - Implement data pipelines and model integration workflows. - Optimize application performance, scalability, and reliability. - Collaborate with cross-functional teams including product, data, and DevOps teams. You should possess the following technical skills: - Strong proficiency in Java (Java 8+) - Experience with Spring Boot / Spring Framework - Microservices architecture and REST API development - Knowledge of SQL / NoSQL databases - Understanding of Machine Learning concepts - Experience integrating AI/ML models via APIs or frameworks - Familiarity with Python for AI/ML workflows - Experience with GCP - Containerization using Docker / Kubernetes - CI/CD tools and DevOps practices - Version control using Git Qualifications: - 35 years of experience in Java development - Exposure to AI/ML or data-driven applications Key Competencies: - Strong problem-solving and analytical skills - Ability to work in agile development environments - Excellent communication and collaboration skills You are a highly motivated Engineer with strong Java development experience and exposure to AI/ML technologies. You will design, develop, and deploy scalable applications by integrating AI capabilities with robust Java-based backend services. - Design, develop, and maintain high-performance Java-based applications and microservices. - Integrate AI/ML models and services into enterprise applications. - Develop RESTful APIs and backend services using Java frameworks. - Implement data pipelines and model integration workflows. - Optimize application performance, scalability, and reliability. - Collaborate with cross-functional teams including product, data, and DevOps teams. You should possess the following technical skills: - Strong proficiency in Java (Java 8+) - Experience with Spring Boot / Spring Framework - Microservices architecture and REST API development - Knowledge of SQL / NoSQL databases - Understanding of Machine Learning concepts - Experience integrating AI/ML models via APIs or frameworks - Familiarity with Python for AI/ML workflows - Experience with GCP - Containerization using Docker / Kubernetes - CI/CD tools and DevOps practices - Version control using Git Qualifications: - 35 years of experience in Java development - Exposure to AI/ML or data-driven applications Key Competencies: - Strong problem-solving and analytical skills - Ability to work in agile development environments - Excellent communication and collaboration skills