Associate AI Engineer at T-Mobile in Bellevue, WA

Summary: T-Mobile is committed to investing in its employees and enhancing customer service through innovative AI solutions. The Associate AI Engineer will support the development and optimization of AI models, collaborating with teams to integrate enhancements that improve customer interactions. Responsibilities: - Applies prompt engineering techniques to enhance AI model performance for customer service automation - Collaborates with cross-functional teams to integrate AI-driven enhancements into production systems - Supports the development and optimization of AI models under the guidance of senior engineers - Contributes to the architecture of sophisticated AI systems to improve customer interactions - Ensures the reliability, accuracy, and efficiency of AI applications in customer service operations - Fine-tunes AI models to meet specific operational goals and enhance user satisfaction Required Qualifications: - Bachelor's Degree Computer Science, Engineering, or a related field - Data Analysis Ability to analyze and interpret complex data to improve AI model performance - Problem Solving Strong problem-solving skills to troubleshoot and optimize AI systems - Collaboration Excellent collaboration skills to work effectively with cross-functional teams - At least 18 years of age - Legally authorized to work in the United States Preferred Qualifications: - Master's/Advanced Degree Computer Science or Data Science - Developing and optimizing AI models, particularly in customer service automation - Applying AI techniques such as prompt engineering and fine-tuning - Collaborating with cross-functional teams to integrate AI-driven solutions into production systems - Technical Writing Proficiency in technical writing to document AI model developments and modifications - Microsoft Excel Proficiency in Microsoft Excel for data manipulation and analysis - Agile Methodologies Understanding of Agile methodologies to adapt to rapidly changing requirements in AI development - Certified Analytics Professional (CAP): Certification that validates an individual's expertise in analytics processes - Machine Learning Certification: Certification that demonstrates proficiency and understanding in machine learning techniques Required Skills: AI model optimization, Prompt engineering, Data analysis Important Skills: Machine Learning Certification, Agile methodologies Nice-to-Have Skills: Microsoft Excel, Certified Analytics Professional Benefits: Medical, dental and vision insurance, Flexible spending account, 401(k), Employee stock grants, Employee stock purchase plan, Paid time off, Up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually, Paid parental and family leave, Family building benefits, Back-up care, Enhanced family support, Childcare subsidy, Tuition assistance, College coaching, Short- and long-term disability, Voluntary AD&D coverage, Voluntary accident coverage, Voluntary life insurance, Voluntary disability insurance, Voluntary long-term care insurance, Mobile service & home internet discounts, Pet insurance, Access to commuter and transit programs