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- Aufgaben: Design and implement innovative AI solutions using advanced analytics techniques.
- Arbeitgeber: Join IBM, a leader in technology and innovation.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for growth and development.
- Warum dieser Job: Be at the forefront of AI and machine learning, tackling complex business challenges.
- Gewünschte Qualifikationen: 5+ years of experience in Data Science with a focus on AI required.
- Andere Informationen: This role is essential for driving AI initiatives within the company.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
The company seeks a professional skilled in Data Science with a focus on AI to design and implement innovative AI solutions. The role involves utilizing advanced analytics techniques for both structured and unstructured data, emphasizing the use of large language models and foundation models. The expert will also leverage their understanding of cognitive computing to address complex business challenges. This position is crucial for driving the company’s initiatives in AI and machine learning applications.
Company:
IBM
Qualifications:
Language Requirements:
Specific language requirements not specified.
Specific Requirements:
Not specified.
Educational Level:
Not specified.
Level of Experience (Years):
Senior (5+ years of experience)
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Data Scientist – Artificial Intelligence (m/f/d) Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Scientist – Artificial Intelligence (m/f/d)
✨Tip Number 1
Make sure to showcase your experience with large language models and foundation models in your discussions. Highlight specific projects where you've successfully implemented these technologies to solve real-world problems.
✨Tip Number 2
Familiarize yourself with IBM's current AI initiatives and products. Being able to discuss how your skills align with their goals will demonstrate your genuine interest and understanding of the company’s direction.
✨Tip Number 3
Prepare to discuss complex business challenges you've tackled using cognitive computing. Use concrete examples to illustrate your problem-solving skills and how you can bring value to IBM's AI projects.
✨Tip Number 4
Network with current or former IBM employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Scientist – Artificial Intelligence (m/f/d)
Tipps für deine Bewerbung 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in Data Science and AI. Detail specific projects where you've utilized advanced analytics techniques, especially with large language models and foundation models.
Showcase Technical Skills: List the programming languages, tools, and technologies you are proficient in that are relevant to AI and machine learning. Mention any experience with cognitive computing and how it has helped solve complex business challenges.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the job posting to demonstrate that you understand the role and its requirements.
Prepare for Interviews: Be ready to discuss your past work in detail, particularly your approach to designing and implementing AI solutions. Prepare examples that showcase your problem-solving skills and innovative thinking in the field of Data Science.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Showcase Your AI Expertise
Be prepared to discuss your experience with AI and machine learning. Highlight specific projects where you've implemented innovative AI solutions, especially those involving large language models and foundation models.
✨Demonstrate Analytical Skills
Expect questions that assess your ability to work with both structured and unstructured data. Prepare examples of how you've utilized advanced analytics techniques to solve complex business challenges.
✨Understand Cognitive Computing
Familiarize yourself with cognitive computing concepts and be ready to explain how they can be applied to real-world problems. This will show your depth of knowledge and relevance to the role.
✨Prepare for Behavioral Questions
Since this is a senior position, anticipate behavioral interview questions that explore your leadership and teamwork experiences. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
