Qualfon is a comprehensive provider of customer engagement solutions, specializing in services such as contact center operations, digital marketing, data analytics, and fulfillment. The company focuses on enhancing customer interactions and driving revenue through a blend of innovative marketing strategies and back-office support. With a strong commitment to customer care, Qualfon aims to improve customer loyalty and satisfaction across various industries.
Call Centers and Contact Centers • Technical Support • Business Process Outsourcing (BPO) • Social Media Support • Back-Office Processing
March 27
Qualfon is a comprehensive provider of customer engagement solutions, specializing in services such as contact center operations, digital marketing, data analytics, and fulfillment. The company focuses on enhancing customer interactions and driving revenue through a blend of innovative marketing strategies and back-office support. With a strong commitment to customer care, Qualfon aims to improve customer loyalty and satisfaction across various industries.
Call Centers and Contact Centers • Technical Support • Business Process Outsourcing (BPO) • Social Media Support • Back-Office Processing
• Analyze vast amounts of data to uncover trends that improve products and services. • Collaborate with cross-functional teams to deploy AI-driven solutions that enhance operational effectiveness and drive innovation. • Procure and build scalable and high-performance custom data models and algorithms. • Employ various statistical analysis techniques to examine consumer attitudes, perceptions, and behaviors. • Design and implement machine learning models and AI algorithms across the enterprise.
• Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas; advanced degree preferred. • Minimum of 5 years of progressive experience in AI, ML, and LLM technologies in BPO, product development, or recruitment marketing settings. • Profound understanding of AI algorithms, NLP, machine learning frameworks, and deep learning models. • Solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R. • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Outstanding written and verbal communication skills. • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges. • Experience navigating ambiguous and/or complex situations. • Experience in working in dual shore engagement is preferred.
• Competitive compensation • Comprehensive benefits • Supportive work environment that values creativity and initiative
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