AI/ML Integration
- Collaborate with AI/ML teams to understand and integrate models into live applications.
- Deploy models using APIs ONNX or direct embedding techniques.
- Maintain model versioning performance monitoring and retraining pipelines (MLOps best practices).
Backend Development
- Develop robust APIs and backend logic using frameworks like Django or Flask.
- Design scalable architectures for handling AI model inputs/outputs and data flow.
- Integrate databases (PostgreSQL MongoDB Redis) for data persistence and caching.
Frontend Development
- Build dynamic intuitive UIs using React Angular or .
- Visualize AI model outputs clearly for end-users (dashboards predictive indicators etc.).
- Ensure UI responsiveness accessibility and performance across devices.
Infrastructure & DevOps
- Containerize applications using Docker and orchestrate via Kubernetes.
- Manage deployments on cloud platforms like AWS Azure or GCP.
- Implement CI/CD pipelines and monitor system health in production environments.
Qualifications :
- 24 years of professional experience in full-stack software development.
- Strong programming skills in JavaScript/TypeScript (React ) and Python (Django Flask).
- Experience integrating AI/ML models via APIs or frontend embedding (e.g. ).
- Solid understanding of RESTful or GraphQL APIs and microservices architecture.
- Familiarity with Git Agile development and continuous integration practices.
Preferred:
- Hands-on experience with Generative AI LLMs or platforms like Hugging Face OpenAI or LangChain.
- Exposure to MLOps tools like MLflow SageMaker Kubeflow or Vertex AI.
- Working knowledge of secure coding practices and AI ethics (e.g. data privacy model fairness).
- Experience with real-time systems and streaming data (Kafka WebSockets).
Additional Information :
Languages/Technologies: Java/J2EE ReactJS JQuery JSON HTML JavaScript CSS PLSQL. Additional: Angular 7 VueJS AngularJS. Frameworks: Spring Boot Spring 4(MVC ORM AOP SECURITY Batch) Struts 2 Hibernate 3. Database: Oracle 19c. Web Services: RESTful Web Services (JAX-RS) SOAP JSON. Build Tool: Maven. Version Control : Bit Bucket. Development Tools: Eclipse STS Jira Tibco Jasper Report. Application Server: WebLogic Application server Apache Tomcat Testing: Junit.
Remote Work :
No
Employment Type :
Full-time
AI/ML IntegrationCollaborate with AI/ML teams to understand and integrate models into live applications.Deploy models using APIs ONNX or direct embedding techniques.Maintain model versioning performance monitoring and retraining pipelines (MLOps best practices).Backend DevelopmentDevelop robust API...
AI/ML Integration
- Collaborate with AI/ML teams to understand and integrate models into live applications.
- Deploy models using APIs ONNX or direct embedding techniques.
- Maintain model versioning performance monitoring and retraining pipelines (MLOps best practices).
Backend Development
- Develop robust APIs and backend logic using frameworks like Django or Flask.
- Design scalable architectures for handling AI model inputs/outputs and data flow.
- Integrate databases (PostgreSQL MongoDB Redis) for data persistence and caching.
Frontend Development
- Build dynamic intuitive UIs using React Angular or .
- Visualize AI model outputs clearly for end-users (dashboards predictive indicators etc.).
- Ensure UI responsiveness accessibility and performance across devices.
Infrastructure & DevOps
- Containerize applications using Docker and orchestrate via Kubernetes.
- Manage deployments on cloud platforms like AWS Azure or GCP.
- Implement CI/CD pipelines and monitor system health in production environments.
Qualifications :
- 24 years of professional experience in full-stack software development.
- Strong programming skills in JavaScript/TypeScript (React ) and Python (Django Flask).
- Experience integrating AI/ML models via APIs or frontend embedding (e.g. ).
- Solid understanding of RESTful or GraphQL APIs and microservices architecture.
- Familiarity with Git Agile development and continuous integration practices.
Preferred:
- Hands-on experience with Generative AI LLMs or platforms like Hugging Face OpenAI or LangChain.
- Exposure to MLOps tools like MLflow SageMaker Kubeflow or Vertex AI.
- Working knowledge of secure coding practices and AI ethics (e.g. data privacy model fairness).
- Experience with real-time systems and streaming data (Kafka WebSockets).
Additional Information :
Languages/Technologies: Java/J2EE ReactJS JQuery JSON HTML JavaScript CSS PLSQL. Additional: Angular 7 VueJS AngularJS. Frameworks: Spring Boot Spring 4(MVC ORM AOP SECURITY Batch) Struts 2 Hibernate 3. Database: Oracle 19c. Web Services: RESTful Web Services (JAX-RS) SOAP JSON. Build Tool: Maven. Version Control : Bit Bucket. Development Tools: Eclipse STS Jira Tibco Jasper Report. Application Server: WebLogic Application server Apache Tomcat Testing: Junit.
Remote Work :
No
Employment Type :
Full-time
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