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We are seeking a highly skilled and motivated AI Technology Support Engineer/Analyst to join our dynamic team. The ideal candidate will possess a strong technical background in AI technologies, exceptional problem-solving abilities, and a passion for providing top-tier technical support. This role involves troubleshooting, diagnosing, and resolving complex issues related to AI products and services, as well as collaborating with cross-functional teams to enhance product performance and customer satisfaction.
Job Responsibility
Provide technical support for AI products and services, addressing client inquiries, troubleshooting issues, and offering resolutions in a timely and efficient manner
Diagnose and resolve complex technical problems related to AI algorithms, model deployment, data processing, and system integration
Collaborate with product development, engineering, and data science teams to identify and implement solutions for improving AI system performance and functionality
Conduct thorough analysis of technical issues, document findings, and communicate solutions to internal teams and clients
Develop and maintain comprehensive technical documentation, including user guides, troubleshooting manuals, and FAQs
Offer training and guidance to clients and internal teams on the utilization and optimization of AI technologies
Stay up-to-date with emerging trends and advancements in AI and related technologies to provide informed support and recommendations
Participate in the continuous improvement of support processes and tools to enhance efficiency and customer satisfaction
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Three years of experience in a technical support or engineering role, with a focus on AI technologies and related domains
Experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Keras, etc.
Nice to have
Certifications in AI/ML or related technologies are desirable
Hands-on experience with deploying AI models in a production environment
Knowledge of API integration and microservices architecture
Experience with version control tools (e.g., Git)
Familiarity with database technologies (SQL and NoSQL)
Prior experience in a customer-facing technical support role