AI Solutions Developer
4 days ago
CXApp US, Inc. is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. Our team of experts specializes in NLP, chatbots, predictive analytics, recommendation systems, data engineering, and automation.
SalaryWe offer a competitive salary range of $120,000 - $180,000 per year, based on experience.
Job DescriptionAs an AI Solutions Developer at CXApp US, Inc., you will play a pivotal role in designing and developing AI-driven applications and systems. You will work on exciting projects, leveraging your expertise in NLP-powered chatbots, predictive analytics models, recommendation engines, and data automation solutions.
Key Responsibilities- NLP and Chatbot Development: Design, develop, and maintain 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.
- Masters degree in computer science, Data Science, or a related field.
- Expertise in NLP techniques like tokenization, stemming, lemmatization, and sentiment analysis is required for processing and understanding natural language dialogue.
- Knowledge of dialogue state tracking, act classification, and context management is essential for maintaining coherent and engaging conversation flows.
- 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.
- Comprehensive health, dental, and retirement plans.
- Opportunities for professional development and growth.
- A dynamic and collaborative work environment.
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