Computer Science Jobs 2026 (Now Hiring) – Smart Auto Apply

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 'from-anywhere' 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 AI Applications and Data Science Engineer at CXAPP, you will be at the forefront of our AI and data-driven initiatives. You will play a pivotal role in designing and developing AI-driven applications and systems, including NLP-powered chatbots, predictive analytics models, recommendation engines, and data automation solutions. This role offers a unique opportunity to work on exciting projects and make a meaningful impact on our organization and clients.

Key Responsibilities:

• NLP and Chatbot Development: Lead the design, development, and maintenance of NLP-powered chatbots and virtual assistants to enhance user experiences and automate interactions.
• Predictive Analytics: Design and implement predictive models to forecast trends, user behavior, and business outcomes, providing data-driven insights.
• Recommendation Systems: Develop recommendation engines that personalize content, products, or services for users, optimizing engagement and satisfaction.
• Data Engineering: Build robust data pipelines, data lakes, and ETL processes to collect, preprocess, and transform data for analysis and modeling.
• Automation: Implement automation solutions for repetitive tasks, optimizing efficiency and reducing manual workloads.
• AI Integration: Collaborate with cross-functional teams to integrate AI and data science capabilities into existing systems and applications.
• Performance Optimization: Optimize the performance and scalability of AI applications, ensuring real-time responsiveness.
• Data Security and Compliance: Implement data security measures and ensure compliance with relevant data privacy regulations (e.g., GDPR).
• Documentation: Maintain comprehensive documentation for AI models, data pipelines, and automation processes.
• Collaboration: Work closely with data scientists, software developers, product managers, and business stakeholders to translate requirements into AI solutions.
• Continuous Learning: Stay up-to-date with the latest AI and data science trends, technologies, and best practices.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in NLP and chatbot development.
• Strong expertise in predictive analytics and recommendation systems.
• Proficiency in data engineering, ETL processes, and data automation.
• Hands-on experience with AI and data science tools and frameworks.
• Programming skills in Python, Java, or relevant languages.
• Knowledge of cloud platforms (e.g., AWS, Azure) for AI and data solutions.
• Understanding of data security and compliance regulations.
• Excellent problem-solving and communication skills.
• A collaborative and innovative mindset.
• Commitment to continuous learning and professional development.

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.