Job Description
Job DescriptionSalary:
Who We Are
CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product CXAI (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work fromanywhere world for employees, partners, customers, and visitors.
We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.
Job Description:
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:
- AI Integration: Collaborate with data scientists and AI developers to integrate AI models into our applications and systems, ensuring proper functionality and performance.
- Analytics: Implement data analytics solutions to gather insights, monitor system performance, and drive data-driven decision-making.
- Cloud Services: Leverage cloud platforms (e.g., AWS, Azure) to deploy and manage AI services and applications efficiently.
- AI Model Deployment: Deploy AI models in production environments, monitoring their performance and scalability.
- Performance Optimization: Optimize the performance of AI-integrated systems, including latency reduction and resource management.
- Testing: Develop and execute testing strategies to validate the functionality and reliability of AI and analytics solutions.
- Documentation: Maintain clear and comprehensive documentation of integration processes, performance optimizations, and test cases.
Qualifications:
- Bachelor'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 Python, Java, or relevant languages.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
Benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and retirement plans.
- Opportunities for professional development and growth.
- A dynamic and collaborative work environment.
- The chance to work on cutting-edge AI projects with a talented team.
Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.