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- Aufgaben: Design, develop, and deploy cutting-edge AI and machine learning models.
- Arbeitgeber: Join CASE Deutschland GmbH, a leader in innovative tech solutions.
- Mitarbeitervorteile: Enjoy competitive salary, flexible work arrangements, and continuous learning opportunities.
- Warum dieser Job: Make a real-world impact while collaborating in a modern, inclusive culture.
- Gewünschte Qualifikationen: Master’s degree in relevant fields and 3+ years of AI/ML experience required.
- Andere Informationen: Relocation assistance available for international candidates.
Das voraussichtliche Gehalt liegt zwischen 43200 - 84000 € pro Jahr.
Reference number: 38DE00085
Location: Germany
Start Date: asap
Position Overview:
We are looking for experienced AI and Machine Learning Engineers to join our team in Germany. In this role, you will design, develop, and deploy machine learning models and AI systems to support our products and services. The ideal candidate has strong technical skills, practical problem-solving abilities, and a commitment to advancing AI technologies.
Key Responsibilities:
- Design, develop, and optimize machine learning models and AI systems from conception to production
- Implement and improve algorithms for data classification, prediction, and pattern recognition
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Research and implement cutting-edge AI techniques to solve complex problems
- Perform data preprocessing, feature engineering, and feature selection to prepare datasets for model training
- Develop efficient code for data processing, model training, and inference pipelines
- Evaluate and benchmark model performance, making continuous improvements
- Create documentation and technical specifications for AI/ML systems
- Monitor deployed models and implement strategies to ensure performance and reliability
- Stay current with the latest advancements in artificial intelligence and machine learning
Required Qualifications & Skills:
- Master’s degree or higher in Computer Science, Mathematics, Statistics, or a related field
- Minimum 3 years of professional experience in AI/ML development
- Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Experience with natural language processing, computer vision, or reinforcement learning
- Solid understanding of machine learning algorithms and statistical modeling
- Experience deploying ML models to production environments
- Strong software engineering practices and knowledge of version control systems
- Excellent problem-solving skills and attention to detail
- Fluent in English; German language skills are a plus
Benefits:
- Competitive salary and comprehensive benefits package
- Opportunity to work on innovative projects with real-world impact
- Continuous learning and professional development support
- Modern workplace with state-of-the-art equipment and technologies
- Flexible working arrangements
- Collaborative and inclusive company culture
- Relocation assistance for international candidates
How to Apply:
Qualified candidates are invited to submit their CV, a cover letter outlining their interest and qualifications, and relevant portfolio examples or GitHub profiles to with the subject line „AI and Machine Learning Engineer Application“.
Company:
CASE Deutschland GmbH
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AI and Machine Learning Engineer (m/f/d) Arbeitgeber: NLP PEOPLE
Kontaktperson:
NLP PEOPLE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: AI and Machine Learning Engineer (m/f/d)
✨Tip Number 1
Make sure to showcase your experience with AI/ML frameworks like TensorFlow and PyTorch in your discussions. Highlight specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Prepare to discuss your problem-solving approach in detail. Be ready to share examples of how you've tackled complex challenges in AI and machine learning, especially those involving data preprocessing and model optimization.
✨Tip Number 3
Familiarize yourself with the latest advancements in AI technologies. Being able to discuss recent trends or breakthroughs in the field can set you apart and show your commitment to continuous learning.
✨Tip Number 4
If you have experience with natural language processing or computer vision, be prepared to elaborate on those projects. Discussing your specific contributions and the impact of your work can make a strong impression.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: AI and Machine Learning Engineer (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the AI and Machine Learning Engineer position. Tailor your application to highlight how your skills and experiences align with these requirements.
Craft a Compelling Cover Letter: In your cover letter, clearly express your interest in the role and how your background in AI/ML makes you a strong candidate. Mention specific projects or experiences that demonstrate your technical skills and problem-solving abilities.
Showcase Your Technical Skills: Include relevant examples of your work in your CV, such as projects involving Python, TensorFlow, or PyTorch. If you have a GitHub profile, link it to showcase your coding skills and any contributions to open-source projects.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial in the field of AI and machine learning.
Wie du dich auf ein Vorstellungsgespräch bei NLP PEOPLE vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and AI/ML frameworks like TensorFlow and PyTorch. Bring examples of projects you've worked on, especially those involving machine learning models or AI systems.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your practical problem-solving skills. Think of specific challenges you've faced in previous roles and how you overcame them, particularly in the context of AI and machine learning.
✨Highlight Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've collaborated with others to translate business requirements into technical solutions. Communication is key!
✨Stay Updated on AI Trends
Research the latest advancements in AI and machine learning before your interview. Being able to discuss current trends and technologies will show your commitment to advancing in this field.
