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Customer Success Manager Technical Specialist

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The New York Times

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Location:
United States , Armonk, NY and various unanticipated client sites throughout the US

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Contract Type:
Not provided

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Salary:

199998.00 - 225000.00 USD / Year

Job Description:

Customer Success Manager Technical Specialist , IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US : Advise customers on the benefits of software solutions deployed on the Red Hat OpenShift container management platform. Manage and optimize OpenShift deployments to support Artificial Intelligence (AI) and data-related solutions on Cloud Pak for Data. Implement and maintain internal Watson OpenScale to monitor and interpret AI models performance in in support of customers' AI and machine learning objectives. Leverage internal Cloud Pak along with Studio and Watsonx.ai components to manage data, perform analytics, and enhance AI capabilities. Configure and use additional cartridges such as DataStage or Db2 to extend Cloud Pak for Data functionalities. Develop and manage containerized applications and services with OpenShift on Cloud Paks to improve deployment efficiency, scalability, and application robustness. Advise customers on applying AI Operations practices to ensure reliable and efficient AI system operations. Optimize generative AI models and algorithms for better performance, accuracy, and confidence or ROUGE score optimization. Design, develop, and implement AI solutions tailored to customer needs. Engage with client executives to understand their requirements and provide suitable AI and data solutions and strategies. Create and present tailored solutions that address client needs using the mentioned technologies. Continuously monitor AI model performance and make necessary adjustments while ensuring compliance with security standards, particularly in the financial services sector. Utilize: Python, Machine Learning, Pandas, NumPy, Scikit-learn, SQL.

Job Responsibility:

  • Advise customers on the benefits of software solutions deployed on the Red Hat OpenShift container management platform
  • Manage and optimize OpenShift deployments to support Artificial Intelligence (AI) and data-related solutions on Cloud Pak for Data
  • Implement and maintain internal Watson OpenScale to monitor and interpret AI models performance in in support of customers' AI and machine learning objectives
  • Leverage internal Cloud Pak along with Studio and Watsonx.ai components to manage data, perform analytics, and enhance AI capabilities
  • Configure and use additional cartridges such as DataStage or Db2 to extend Cloud Pak for Data functionalities
  • Develop and manage containerized applications and services with OpenShift on Cloud Paks to improve deployment efficiency, scalability, and application robustness
  • Advise customers on applying AI Operations practices to ensure reliable and efficient AI system operations
  • Optimize generative AI models and algorithms for better performance, accuracy, and confidence or ROUGE score optimization
  • Design, develop, and implement AI solutions tailored to customer needs
  • Engage with client executives to understand their requirements and provide suitable AI and data solutions and strategies
  • Create and present tailored solutions that address client needs using the mentioned technologies
  • Continuously monitor AI model performance and make necessary adjustments while ensuring compliance with security standards, particularly in the financial services sector

Requirements:

  • Bachelor's degree or equivalent in Computer Science, Data Science, Engineering, Information Systems, Mathematics or related (employer will accept Associates degree plus two (2) years of IT experience in lieu of a Bachelor's degree)
  • two (2) years of experience as an Analyst, Technical Specialist or related
  • two (2) years of experience must include utilizing Python, Machine Learning, Pandas, NumPy, Scikit-learn, SQL

Additional Information:

Job Posted:
March 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

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