Fullstack Engineer
2 days ago
- Develop and maintain scalable front-end and back-end applications to support AI and automation projects.
- Collaborate with data scientists, AI developers, and other engineers to integrate AI models and automation workflows into production systems.
- Design and implement APIs to facilitate seamless data exchange between different components of the AI and automation ecosystem.
- Ensure the performance, quality, and responsiveness of applications.
- Troubleshoot and debug issues across the stack to ensure smooth operation of AI and automation solutions.
- Stay updated with the latest industry trends and technologies to continuously improve our systems.
Must-Have Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Front-End, Back-End, or Full-Stack Engineer.
- Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular.
- Strong knowledge of back-end technologies such as Python.
- Experience with Django and Flask for web application development
- Experience with RESTful API design and implementation.
- Experience with database technologies like SQL, NoSQL, and ORM frameworks.
- Understanding of version control systems, preferably Git
- Understanding of CI/CD pipelines and DevOps practices.
- Knowledge of cybersecurity best practices.
Nice-to-Have Qualifications:
- Frameworks like React or Angular,
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Knowledge of cloud platforms such as Azure, AWS, or Google Cloud.
- Experience with data visualization tools and libraries.
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