IT Support AI / Data Engineer

Jobs
Talent Solutions

Talent Solutions

- Full Time

Posted on: 26 August, 2024

IT Support AI / Data Engineer

Description:

For our client, a well established bank, we are looking for a German-speaking colleague to join the IT Support AI & Data Engineer team. Flexible work options are available, including Nitra + Homeoffice, Presov + Homeoffice, or fully remote by agreement. Tasks

  • Implement and maintain AI tools in the IT Support Centre
  • Develop automation solutions using AI
  • Identify use cases for AI and automation in IT support
  • Collaborate with product teams to enhance Global Support AI solutions
  • Optimize the incident management process
  • Monitor, improve, and evaluate AI solutions for Global Support Services
  • Create and maintain documentation and technical guidance
  • Provide IT support to internal and external customers
  • Troubleshoot, resolve problems, and offer technical support in the Workplace and M365 environment
  • Participate in IT project planning and implementation
  • Support 24 x 7 operations Requirements: Requirements
  • Very good knowledge of German (mandatory)
  • Written and spoken English
  • Training in the IT sector (HTL, FH, university)
  • Experience in data science or machine learning (NLP or large language models is a plus)
  • Experience in service desk or IT support services and incident management
  • Knowledge of programming languages and technologies used in AI (Python, TensorFlow, PyTorch)
  • Skills in implementing, developing, and evaluating AI tools
  • Strong problem-solving skills
  • Ability to diagnose and resolve technical issues efficiently
  • Excellent communication and social skills
  • Ability to convey complex technical information clearly
  • Ability to work independently and in a team
  • High customer orientation and enthusiasm for new technologies Offer: Benefits
  • Flexible work arrangements: Nitra + Homeoffice, Presov + Homeoffice, or remote by agreement
  • Opportunity to work with cutting-edge AI and automation technologies
  • Collaborative and dynamic team environment
  • Continuous learning and professional development opportunities

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Tags:
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