As an Analytics and AI Integration Engineer at CXAPP, you will play a crucial role in integrating AI capabilities into our systems, optimizing performance, and ensuring the seamless deployment of AI models. You will work with cross-functional teams to enhance our cloud services and testing methodologies to deliver high-quality AI-driven solutions.
Key Responsibilities:
1.AI Integration: Collaborate with data scientists and AI developers to integrate AI models into our applications and systems, ensuring proper functionality and performance.
2. Analytics: Implement data analytics solutions to gather insights, monitor system performance, and drive data-driven decision-making.
3. Cloud Services: Leverage cloud platforms (e.g., AWS, Azure) to deploy and manage AI services and applications efficiently.
4. AI Model Deployment: Deploy AI models in production environments, monitoring their performance and scalability.
5. Performance Optimization: Optimize the performance of AI-integrated systems, including latency reduction and resource management.
6. Testing: Develop and execute testing strategies to validate the functionality and reliability of AI and analytics solutions.
7. Documentation: Maintain clear and comprehensive documentation of integration processes, performance optimizations, and test cases.
Qualifications:
• Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as an engineer working on AI integration and analytics projects.
• Strong understanding of AI concepts, machine learning models, and cloud services.
• Proficiency in AI model deployment and management.
• Knowledge of performance optimization techniques.
• Experience with testing methodologies and tools.
• Proficiency in programming languages like Proficiency in programming language Python, R, or SQL, is crucial for cleaning, manipulating, and analyzing data.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
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