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- Aufgaben: Join a dynamic team as a Machine Learning Engineer and work with cutting-edge AI technologies.
- Arbeitgeber: Be part of a groundbreaking organization in North Rhine-Westphalia, leading the way in data and AI.
- Mitarbeitervorteile: Enjoy competitive salary, fantastic benefits, and a clear progression plan.
- Warum dieser Job: This role offers exciting challenges, a collaborative culture, and the chance to impact the future of AI.
- Gewünschte Qualifikationen: Experience with ML frameworks like TensorFlow and strong Python programming skills are essential.
- Andere Informationen: Open to various experience levels; apply now to kickstart your career!
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
Get AI-powered advice on this job and more exclusive features.
Connecting Data & AI professionals to their dream role in the DACH region.
Stott and May are currently partnered with a ground-breaking organisation based in North Rhine-Westphalia that is looking for a Machine Learning Engineer with a strong academic background to join the expanding team. This company is at the forefront of their field and has grown between 15% – 20% in the last 12 months!
Responsibilities:
As a Machine Learning Engineer, you must have the following experience:
- Experience with ML frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Strong knowledge of image processing and implementation of augmentation techniques.
- Very good programming knowledge in Python (including NumPy, pandas, and Matplotlib).
This position is open to various experience levels and comes with a competitive salary, fantastic benefits, and a clear progression plan.
Apply immediately to find out more!
Job Details:
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology, Software Development, and Medical Practices
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Anwendungsentwickler (all genders) Arbeitgeber: Provinzial Holding
Kontaktperson:
Provinzial Holding HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Anwendungsentwickler (all genders)
✨Tip Number 1
Make sure to showcase your experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn during networking events or meetups. Engaging with professionals in the field can help you gain insights and potentially get referrals.
✨Tip Number 2
Participate in online forums or communities focused on machine learning and image processing. Sharing your knowledge and asking questions can help you build connections that may lead to job opportunities.
✨Tip Number 3
Consider contributing to open-source projects related to machine learning. This not only enhances your skills but also demonstrates your commitment to the field, making you a more attractive candidate.
✨Tip Number 4
Stay updated on the latest trends and advancements in machine learning and image processing. Being knowledgeable about current technologies can give you an edge during interviews and discussions with potential employers.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Anwendungsentwickler (all genders)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Machine Learning Engineer position. Familiarize yourself with the specific ML frameworks mentioned, such as TensorFlow, PyTorch, and Scikit-learn.
Tailor Your CV: Customize your CV to highlight your experience with image processing, programming in Python, and any relevant projects or achievements. Use keywords from the job description to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Mention why you are interested in this particular company and how your skills align with their goals.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
Wie du dich auf ein Vorstellungsgespräch bei Provinzial Holding vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Bring examples of projects where you've implemented these technologies, as this will demonstrate your hands-on expertise.
✨Discuss Image Processing Techniques
Since the role emphasizes image processing, be ready to explain your knowledge of augmentation techniques. Share specific instances where you've applied these methods in your work to enhance model performance.
✨Highlight Your Python Proficiency
Make sure to emphasize your programming skills in Python, especially with libraries like NumPy, pandas, and Matplotlib. Prepare to solve coding challenges or answer technical questions that test your understanding of these tools.
✨Express Your Passion for AI
Convey your enthusiasm for AI and machine learning during the interview. Discuss any personal projects, research, or continuous learning efforts that showcase your commitment to staying updated in this rapidly evolving field.
