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- Aufgaben: Design and develop evaluation benchmarks for ML models in manufacturing.
- Arbeitgeber: Ailoys GmbH is revolutionizing manufacturing with IoT, AI, and machine learning.
- Mitarbeitervorteile: Enjoy a competitive salary and work on cutting-edge technologies.
- Warum dieser Job: Join a fast-growing team and contribute to impactful projects in industrial AI.
- Gewünschte Qualifikationen: 2-3 years of experience in ML, Python skills, and familiarity with data analysis frameworks.
- Andere Informationen: Passionate about innovation? Apply now and help shape the future of manufacturing!
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
About Us
At Ailoys GmbH, we are transforming the manufacturing landscape by integrating advanced technologies like IoT, sensor systems, AI and machine learning. Our mission is to empower manufacturing facilities with smarter processes, improved quality, and enhanced efficiency.
We are looking for a Machine Learning (ML) Engineer who will focus on researching appropriate models for automation manufacturing processes.
In this role, you will:
- Design and develop evaluation benchmark.
- Deploy end-to-end evaluation pipelines for in-house and external ML models.
- Be responsible for model selection and comparison with state-of-the-art methods.
- Analyze evaluation results and propose improvements to data and models.
Required Skills and Experience
- Expertise in the evaluation of generative AI methods.
- A good understanding of statistics and data analysis.
- Data annotation management.
- Practical Python language skills.
- Familiarity with frameworks such as NumPy, SciPy, pandas, and Hugging Face Evaluate.
- A minimum of 2-3 years of relevant work experience is required.
Nice to have:
- ML frameworks, such as PyTorch, spaCy, and Transformers.
- CI, workflow automation, and experiment tracking systems.
- Familiarity with the AWS Bedrock
Why Join Us?
- A competitive salary that recognizes your skills and contributions.
- Work on cutting-edge technologies in industrial AI, IoT and manufacturing automation.
- Be part of a fast-growing, innovative team with opportunities for professional growth.
- Contribute to impactful projects with leading global manufacturing companies.
If you are passionate about driving innovation in manufacturing and have the technical expertise to match, we’d love to hear from you!
How to Apply
Please send your resume and a brief cover letter by pressing „Apply for this job“ detailing your relevant experience, as well as your salary expectations.
Let’s build the future of manufacturing together!
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ML Engineer Arbeitgeber: Ailoys
Kontaktperson:
Ailoys HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: ML Engineer
✨Tip Number 1
Familiarize yourself with the latest trends in generative AI methods. This will not only help you understand the evaluation benchmarks better but also demonstrate your commitment to staying updated in this rapidly evolving field.
✨Tip Number 2
Engage with the community by participating in forums or attending meetups focused on machine learning and manufacturing automation. Networking can lead to valuable insights and connections that may help you land the job.
✨Tip Number 3
Showcase any personal projects or contributions to open-source ML frameworks like PyTorch or Hugging Face. This practical experience can set you apart from other candidates and highlight your hands-on skills.
✨Tip Number 4
Prepare to discuss specific examples of how you've used Python and data analysis in previous roles. Being able to articulate your experience with tools like NumPy and pandas will demonstrate your technical proficiency.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: ML Engineer
Tipps für deine Bewerbung 🫡
Tailor Your Resume: Make sure to customize your resume to highlight your experience with generative AI methods, Python programming, and relevant ML frameworks. Use keywords from the job description to ensure your application stands out.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation in manufacturing and detail how your skills align with the role. Mention specific projects or experiences that demonstrate your expertise in model evaluation and data analysis.
Showcase Relevant Experience: When detailing your work experience, focus on your achievements related to ML model selection, deployment of evaluation pipelines, and any familiarity with AWS Bedrock or CI systems. Quantify your contributions where possible.
Be Clear About Salary Expectations: Since the job description asks for salary expectations, be honest and clear about your requirements. Research industry standards to provide a reasonable range that reflects your experience and skills.
Wie du dich auf ein Vorstellungsgespräch bei Ailoys vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python and the frameworks mentioned, like NumPy, SciPy, and pandas. Bring examples of past projects where you successfully implemented these technologies, especially in the context of machine learning.
✨Understand Generative AI Methods
Since expertise in generative AI methods is required, make sure to brush up on the latest advancements in this area. Be ready to explain how you've evaluated or implemented these methods in previous roles.
✨Discuss Your Evaluation Processes
Prepare to talk about your experience with model selection and evaluation. Highlight specific benchmarks you've developed and how you analyzed results to propose improvements, as this aligns closely with the job responsibilities.
✨Express Your Passion for Innovation
Ailoys GmbH values innovation in manufacturing. Share your thoughts on how advanced technologies can transform the industry and express your enthusiasm for contributing to impactful projects.
