AI Operations Specialist

Why WWT?At World Wide Technology, we work together to make a new world happen. Our important work benefits our clients and partners as much as it does our people and communities across the globe. WWT is dedicated to achieving its mission of creating a profitable growth company that is also a Great Place to Work for All. We achieve this through our world-class culture, generous benefits and by delivering cutting-edge technology solutions for our clients. Founded in 1990, WWT is a global technology solutions provider leading the AI and Digital Revolution. WWT combines the power of strategy, execution and partnership to accelerate digital transformational outcomes for organizations around the globe. Through its Advanced Technology Center, a collaborative ecosystem of the world's most advanced hardware and software solutions, WWT helps clients and partners conceptualize, test and validate innovative technology solutions for the best business outcomes and then deploys them at scale through its global warehousing, distribution and integration capabilities. With over 12,000 employees across WWT and Softchoice and more than 60 locations around the world, WWT's culture, built on a set of core values and established leadership philosophies, has been recognized 14 years in a row by Fortune and Great Place to Work® for its unique blend of determination, innovation and creating a great place to work for all. Want to work with highly motivated individuals on high-performance teams? Join WWT today! What will you be doing?The AI Operations Specialist will be responsible for the implementation, maintenance, and optimization of AI and machine learning (ML) models and systems. This role requires a blend of data science, machine learning, and operational skills to ensure the seamless deployment, monitoring, and performance tuning of AI applications. Knowledge of Dell and Nvidia products is essential for optimizing hardware and software solutions. Key Responsibilities: Model Deployment and MaintenanceDeploy AI/ML models into production environments. Monitor the performance of deployed models, ensuring they meet performance and accuracy benchmarks. Implement automated retraining and updating mechanisms for models. System Monitoring and TroubleshootingDevelop and implement monitoring tools to ensure the health of AI systems. Troubleshoot and resolve issues related to AI/ML systems in a timely manner. Collaborate with IT and DevOps teams to ensure system stability and uptime. Performance OptimizationAnalyze the performance of AI models and systems, identifying areas for improvement. Optimize AI workflows and processes to enhance efficiency and reduce latency. Implement best practices for model scaling and resource management. Data ManagementOversee the data pipelines that feed into AI/ML models, ensuring data quality and integrity. Collaborate with data engineering teams to design and maintain robust data infrastructure. Ensure compliance with data privacy and security standards. Documentation and ReportingMaintain detailed documentation of AI operations, including deployment procedures, troubleshooting steps, and performance metrics. Prepare reports on AI system performance, incidents, and resolutions for stakeholders. Contribute to the development of operational guidelines and best practices. Collaboration and CommunicationWork closely with data scientists, engineers, and business stakeholders to understand AI requirements and deliver solutions. Provide technical support and training to team members and end users. Stay updated with the latest AI/ML technologies and industry trends. Hardware and Software ExpertiseLeverage expertise in Dell products, including servers, storage solutions, and networking equipment, to support AI infrastructure. Utilize Nvidia GPUs and related software (CUDA, TensorRT) for optimizing AI/ML model performance. Stay informed about advancements and updates in Dell and Nvidia technologies to recommend and implement upgrades. Qualifications:RequiredBachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Proven experience in AI/ML operations, with hands on experience in deploying and managing models in production. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikitlearn). Proficiency in programming languages such as Python, Java, or R. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with monitoring tools and practices (e.g., Prometheus, Grafana). Excellent problem-solving skills and the ability to work under pressure. Strong communication skills and the ability to collaborate effectively with cross functional teams. In depth knowledge of Dell products and Nvidia GPUs, including setup, configuration, and optimization. PreferredMaster’s degree in a related field. Certification in AI/ML or cloud computing (e.g., AWS Certified Machine Learning – Specialty). Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow). OthersAvailable for occasional on-call duties or afterhours support for critical issues. The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees: Health and Wellbeing: Combined Health Insurance, Employee Assistance Program, Wellness programFinancial Benefits: Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition ReimbursementPaid Time Off: PTO & Holidays, Parental Leave, Sick Leave, Bereavement