With Whom You Will CELLebrate
The mission has started. We proudly announce that in our Battery Valley we are starting our own battery cell production and the ramp up of our worldwide headquarters for global cell manufacturing. In this, the tasks and requirements of the unit Information Technology are varied. IT takes care all matters relating to information technology, i.e. electronic data processing. The responsibilities vary from IT-infrastructure to digitization of the organization to the operational use of electronic data processing throughout the organization.
How You Will CELLebrate
- Led the technical design and development of AI and GenAI solutions within PowerCo
- Provide technical leadership and mentorship to the development team
- Collaborate with cross-functional teams to define and implement GenAI solutions
- Ensure the scalability, performance, and security of AI and GenAI solutions
- Stay up-to-date on the latest advances in AI and GenAI technologies and integrate them with PowerCo's solutions
- Development and maintenance of documentation for AI and GenAI solutions
- Conduct code reviews and ensure compliance with best practices and coding standards
- Educate users and stakeholders about AI and GenAI solutions
- Effective contracting and communication with customers, partners, and employees to define deliverables, timelines, and responsibilities
What You Need For Our CELLebration
Master's degree in Computer Science, Engineering, or a related field. A PhD is beneficialRelevant certifications in AI and / or GenAI, Azure, or related technologiesProficiency in English is compulsory; proficiency in German is an advantageExtensive experience with Azure-based data platforms, including DatabricksStrong understanding of database and advanced analytical toolsProven experience in technical leadership and development of GenAI solutionsExcellent problem-solving and analytical skillsStrong communication and collaboration skillsWhat Else Can You Bring
Experience with other cloud platforms and technologiesKnowledge of machine learning and artificial intelligence frameworksFamiliarity with DevOps practices and toolsExperience in agile development methodsWhat To Look Forward To
Flexible working hours from 28 to 40h per weekPossibility of a 4-day-week (up to 35h per week)30 days paid + 10 days unpaid leaveMobile work optionsRelocation supportMore benefits to comeJ-18808-Ljbffr