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- Aufgaben: Join us as an AI Data Expert to design and optimize data infrastructures for AI applications.
- Arbeitgeber: Be part of a dynamic team shaping the future of AI-driven solutions.
- Mitarbeitervorteile: Enjoy fully remote work, competitive pay, private health insurance, and a supportive culture.
- Warum dieser Job: Work with cutting-edge AI tech in a challenging environment that promotes continuous learning.
- Gewünschte Qualifikationen: Bachelor’s or Master’s in AI or related field with 2+ years of hands-on AI experience required.
- Andere Informationen: Fluency in English and experience with Microsoft Copilot Studio are essential.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
We are currently seeking a talented AI Data Expert to join our dynamic team and play a key role in developing and maintaining cutting-edge AI-driven solutions. As a key contributor, you will help shape the future of our data infrastructure while collaborating closely with product teams, all while leveraging Microsoft Copilot Studio to ensure seamless integration and performance.
Responsibilities:
- Data Infrastructure Design & Implementation: Collaborate with cross-functional teams to design and build scalable and efficient data infrastructures for AI-driven applications.
- Leverage Microsoft Copilot Studio (formerly Power Virtual Agents) and other relevant tools to develop and optimize virtual assistants and AI models.
- Design, develop, and optimize robust data pipelines to efficiently process large-scale datasets, ensuring data quality and integrity for AI model training and deployment.
- Preprocess text data, including tokenization, normalization, and encoding techniques for natural language processing tasks.
- Identify and resolve issues related to data processing and AI model performance to ensure optimal results.
- Work closely with product teams to integrate AI solutions and provide insights to drive product improvements.
Requirements:
- Bachelor’s or Master’s degree in AI Machine Learning, Engineering, Data Analysis, or a related field.
- At least 2 years of hands-on experience in AI, with 3-4+ years of experience in a data expert role.
- Proven experience with Microsoft Copilot Studio (formerly Power Virtual Agents).
- Expertise in data preparation, including data cleaning, transformation, and feature engineering using Python-based tools such as Pandas, NumPy, or PyTorch Datasets is considered a plus.
- Experience with Azure AI Search (Cognitive Search), OpenAI GPT Models is considered a strong plus.
- Familiarity with the Microsoft Power Platform (Power Automate, Power BI, Logic Apps) is highly desirable.
- Fluency in English with excellent communication and collaboration skills.
Benefits:
- Fully remote working environment.
- Competitive remuneration package.
- Private health insurance.
- A dynamic and challenging work environment that fosters continuous learning and career progression.
- Opportunity to work with cutting-edge AI technologies.
- Supportive and pleasant team culture.
- Expand your knowledge and responsibilities in the AI and data fields.
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AI Data Expert Arbeitgeber: Upcom
Kontaktperson:
Upcom HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI Data Expert
✨Tip Number 1
Familiarize yourself with Microsoft Copilot Studio and its features. Since this role emphasizes leveraging this tool, understanding its capabilities will help you demonstrate your expertise during discussions.
✨Tip Number 2
Showcase your experience with data pipelines and AI model performance. Be prepared to discuss specific projects where you've designed or optimized data infrastructures, as this will highlight your hands-on experience.
✨Tip Number 3
Brush up on your knowledge of natural language processing techniques. Since preprocessing text data is a key responsibility, being able to talk about tokenization and normalization will set you apart.
✨Tip Number 4
Emphasize your collaboration skills. This role involves working closely with product teams, so sharing examples of successful teamwork and communication will demonstrate that you're a great fit for our dynamic environment.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI Data Expert
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure to customize your CV to highlight your experience in AI and data analysis. Emphasize your hands-on experience with Microsoft Copilot Studio and any relevant projects that showcase your skills in data infrastructure design and implementation.
Craft a Compelling Cover Letter: Write a cover letter that reflects your passion for AI and data solutions. Mention specific experiences where you collaborated with cross-functional teams and how you leveraged tools like Python, Pandas, or Azure AI Search in your previous roles.
Showcase Relevant Projects: Include examples of projects you've worked on that demonstrate your expertise in data preparation and AI model optimization. Highlight any challenges you faced and how you resolved them, particularly in relation to data quality and integrity.
Highlight Communication Skills: Since the role requires excellent communication and collaboration skills, make sure to provide examples in your application that illustrate your ability to work effectively with product teams and convey complex technical concepts clearly.
Wie du dich auf ein Vorstellungsgespräch bei Upcom vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Microsoft Copilot Studio and other relevant tools. Highlight specific projects where you designed data infrastructures or optimized AI models, as this will demonstrate your hands-on expertise.
✨Demonstrate Problem-Solving Abilities
Expect questions about how you've identified and resolved issues in data processing or AI model performance. Share examples that illustrate your analytical thinking and ability to troubleshoot effectively.
✨Emphasize Collaboration Experience
Since the role involves working closely with product teams, be ready to discuss your experience in cross-functional collaboration. Provide examples of how you’ve contributed to team projects and driven product improvements through AI solutions.
✨Prepare for Technical Questions
Brush up on your knowledge of data preparation techniques, especially using Python-based tools like Pandas and NumPy. You may be asked to solve a problem or explain your approach to preprocessing text data for natural language processing tasks.
