AI Applications and Data Science Engineer
1 month ago
CXAPP US, Inc. is seeking a talented AI Applications and Data Science Engineer to join our dynamic team. As a key member of our AI and data-driven initiatives, you will design and develop AI-driven applications and systems, including NLP-powered chatbots, predictive analytics models, recommendation engines, and data automation solutions.
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.
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