Full Stack AI Software Developer
As a Full Stack AI Software Developer, you will play a pivotal role in designing, developing, and deploying advanced AI-powered applications. You will be responsible for both front-end and back-end development, ensuring seamless integration of AI models with user interfaces and data pipelines. Your expertise in AI, machine learning, and full stack development will drive the creation of robust, scalable, and user-friendly software solutions.
Key Responsibilities:
AI Model Integration: Collaborate with data scientists and AI engineers to integrate machine learning models into production-ready applications.
Front-End Development: Design and implement responsive, intuitive user interfaces using modern front-end technologies (e.g., React, Angular, Vue.js).
Back-End Development: Develop and maintain server-side logic, APIs, and databases, ensuring efficient data flow and processing (e.g., Node.js, Python, Django).
Data Management: Build and manage data pipelines, ensuring data integrity and accessibility for AI models (e.g., SQL, NoSQL, ETL processes).
Cloud Deployment: Deploy AI applications on cloud platforms, optimizing for performance, scalability, and security (e.g., AWS, Azure, Google Cloud).
Continuous Integration/Continuous Deployment (CI/CD): Implement CI/CD pipelines to automate testing, deployment, and monitoring of AI applications.
Collaboration: Work closely with cross-functional teams, including product managers, designers, and AI researchers, to deliver end-to-end solutions.
Performance Optimization: Optimize AI applications for speed, efficiency, and accuracy, addressing any performance bottlenecks.
Security: Ensure the security and privacy of AI applications, adhering to best practices and regulatory requirements.
Qualifications:
Proven experience as a Full Stack Developer with a strong focus on AI or machine learning applications.
Proficiency in front-end technologies (HTML, CSS, JavaScript) and modern frameworks (React, Angular, Vue.js).
Strong back-end development skills, including experience with server-side languages (Node.js, Python, Ruby) and databases (SQL, NoSQL).
Experience with AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn).
Familiarity with cloud platforms and services (AWS, Azure, Google Cloud) for deploying AI applications.
Knowledge of data structures, algorithms, and software design patterns.
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Excellent communication skills and the ability to translate complex AI concepts into user-friendly applications.
Location: Anywhere
Posted: Aug. 16, 2024, 2:34 p.m.
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