Syntricate Technologies
Java full stack with react and AIML exp
Syntricate Technologies, Charlotte, North Carolina, United States, 28245
Required Skills:
Core Development:
Proficient in Java, Spring Boot, REST APIs, Hibernate/JPA. Strong front-end development with Angular, React, or Vue.js. Hands-on with HTML5, CSS3, JavaScript, TypeScript.
AI/ML Exposure:
Basic to intermediate understanding of ML concepts: classification, regression, clustering, NLP, etc. Ability to work with Python ML libraries (e.g., scikit-learn, TensorFlow, Keras) or Java-based ML tools like Deeplearning4j. Understanding of model APIs, feature engineering, and data pipelines.
Database & Tools:
SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra). Git, Maven/Gradle, Jenkins, Docker, Kubernetes.
Key Responsibilities:
Full Stack Development: Develop and maintain web applications using Java (Spring Boot) for backend /React for frontend. Build RESTful APIs, microservices, and secure application layers. Ensure performance, security, and scalability of applications. AI/ML Integration: Collaborate with data scientists to integrate ML models into production-grade systems. Use APIs or pipelines to deploy ML models in Java-based environments. Handle data processing, transformation, and real-time inference tasks. DevOps & Deployment: Containerize applications using Docker and manage deployments via Kubernetes or cloud platforms (AWS, GCP, or Azure). Implement CI/CD pipelines and use monitoring tools for performance and reliability.
Core Development:
Proficient in Java, Spring Boot, REST APIs, Hibernate/JPA. Strong front-end development with Angular, React, or Vue.js. Hands-on with HTML5, CSS3, JavaScript, TypeScript.
AI/ML Exposure:
Basic to intermediate understanding of ML concepts: classification, regression, clustering, NLP, etc. Ability to work with Python ML libraries (e.g., scikit-learn, TensorFlow, Keras) or Java-based ML tools like Deeplearning4j. Understanding of model APIs, feature engineering, and data pipelines.
Database & Tools:
SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra). Git, Maven/Gradle, Jenkins, Docker, Kubernetes.
Key Responsibilities:
Full Stack Development: Develop and maintain web applications using Java (Spring Boot) for backend /React for frontend. Build RESTful APIs, microservices, and secure application layers. Ensure performance, security, and scalability of applications. AI/ML Integration: Collaborate with data scientists to integrate ML models into production-grade systems. Use APIs or pipelines to deploy ML models in Java-based environments. Handle data processing, transformation, and real-time inference tasks. DevOps & Deployment: Containerize applications using Docker and manage deployments via Kubernetes or cloud platforms (AWS, GCP, or Azure). Implement CI/CD pipelines and use monitoring tools for performance and reliability.