Associate AI Engineer

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This role supports the development and optimization of artificial intelligence (AI) models to enhance customer service automation. It involves applying prompt engineering and fine-tuning techniques to improve AI model performance. The role collaborates with cross-functional teams to integrate AI-driven enhancements into production systems. Success is measured by the reliability, accuracy, and efficiency of AI applications in customer service operations. The work impacts organizational capabilities by improving customer interactions and satisfaction through advanced AI systems. Job Responsibilities : Apply prompt engineering techniques to enhance AI model performance for customer service automation Collaborate with cross-functional teams to integrate AI-driven enhancements into production systems Support the development and optimization of AI models to meet operational goals Contribute to the architecture of AI systems to improve customer interactions Ensure the reliability, accuracy, and efficiency of AI applications in customer service operations Fine-tune AI models to enhance performance and user satisfaction Also responsible for other duties/projects as assigned by business management as needed Education and Work Experience : Bachelor's Degree OR combination of education and experience deemed equivalent (Required) Acceptable areas of study include Computer Science, Engineering, or related field (Preferred) Less than 2 years Developing and optimizing AI models, particularly in customer service automation (Preferred) Less than 2 years Applying AI techniques such as prompt engineering and fine-tuning (Preferred) Less than 2 years Collaborating with cross-functional teams to integrate AI-driven solutions into production systems (Preferred) Knowledge, Skills and Abilities : Cloud Computing (Required) Collaboration (Required) Customer-Focused (Required) Data Analysis (Required) Data Management (Required) Data Modeling (Required) Model Tuning (Required) Prompt Engineering (Required) Licenses and Certifications : Certified Analytics Professional (CAP): Certification that validates an individual's expertise in analytics processes, including the formulation of business and analytics problems, methodology selection, and model building. (Preferred) Machine Learning Certification: Certification that demonstrates proficiency and understanding in machine learning techniques, which are crucial for developing and optimizing AI models. (Preferred) At least 18 years of age Legally authorized to work in the United States Travel : Travel Required (Yes/No): No DOT Regulated : DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No   Base Pay Range: $80,900 - $146,100 Corporate Bonus Target: 10% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring