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- Aufgaben: Tackle exciting ML challenges and enhance data engineering for medical devices.
- Arbeitgeber: Join a leading medical devices company in Zug, innovating healthcare technology.
- Mitarbeitervorteile: Enjoy potential remote work options and opportunities for professional growth.
- Warum dieser Job: Be part of a dynamic team shaping the future of medical technology with impactful projects.
- Gewünschte Qualifikationen: MS/PhD in relevant fields and experience in machine learning required.
- Andere Informationen: Fluency in German and English is essential for effective communication.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Machine Learning Engineer / Data Scientist
For our Medical Devices client in the area of Zug, we are currently looking for a Machine Learning Engineer / Data Scientist
Start date: asap
Planned duration: 12 months
Extension: possible
Your tasks:
- Solve core ML and data engineering challenges, handling model deployment and relevant backend/frontend engineering; as well as model evaluation, and finetuning.
- Develop methods for semantic interpretation and automated redundancy removal of proprietary documents.
- Devise experiments to help our understanding of a good knowledge base for LLM Agents.
- Build pipelines that span data collection, document preparation and pre-processing, RAG implementation and LLM evaluation for different internal applications and use cases
- Benchmark and evaluate optimization techniques to ensure efficiency and performance.
- Familiarize yourself with diverse document sources and formats.
- Measure and analyze the pipeline's performance, providing data-driven insights for improvement.
- Work closely with cross-functional teams, communicating results clearly to key stakeholders across RDI Operations to ensure the product's reliability and project success.
Your Profile:
- MS/PhD in Computer Science, Data Science, Statistics, (Computational) Linguistics or related fields
- Experience in machine learning or related fields
- Demonstrated technical capabilities in deploying and evaluating machine learning models in production environments or in ML/LLM research
- Strong programming skills in Python and deep learning frameworks such as PyTorch, Tensorflow, JAX
- A dynamic and resilient individual who is open to work in an evolving project environment, taking initiative to shape the project, continuously learning and adapting to new challenges and opportunities
- Good communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences
- Fluent in German and English
Machine Learning Engineer / Data Scientist Arbeitgeber: Coopers Group AG
Kontaktperson:
Coopers Group AG HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Machine Learning Engineer / Data Scientist
✨Tip Number 1
Make sure to showcase your experience with machine learning models and data engineering challenges in your conversations. Be ready to discuss specific projects where you've deployed models or solved complex problems, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends in semantic interpretation and document processing. Being able to discuss recent advancements or techniques in these areas can set you apart during interviews and show your commitment to staying updated in the field.
✨Tip Number 3
Prepare to explain how you measure and analyze pipeline performance. Having concrete examples of how you've provided data-driven insights for improvement will highlight your analytical skills and your ability to contribute to project success.
✨Tip Number 4
Since communication is key in this role, practice explaining technical concepts in simple terms. This will help you convey your ideas effectively to both technical and non-technical stakeholders, which is crucial for collaboration in cross-functional teams.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer / Data Scientist
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight your relevant experience in machine learning, data engineering, and programming skills.
Highlight Technical Skills: Emphasize your technical capabilities, especially in deploying and evaluating machine learning models. Mention specific frameworks like PyTorch, TensorFlow, or JAX that you have experience with, as these are crucial for the role.
Showcase Communication Skills: Since the role requires clear communication with cross-functional teams, include examples of how you've effectively communicated complex technical concepts to both technical and non-technical audiences in your previous roles.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the specific skills and experiences that align with the job description. Use keywords from the job listing to ensure your application stands out to recruiters.
Wie du dich auf ein Vorstellungsgespräch bei Coopers Group AG vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and frameworks like PyTorch, TensorFlow, or JAX. Bring examples of projects where you've deployed models in production, as this will demonstrate your technical capabilities.
✨Communicate Clearly
Since the role requires explaining complex concepts to both technical and non-technical audiences, practice articulating your thoughts clearly. Use simple language when discussing intricate topics to ensure everyone understands your points.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in ML or data engineering. Highlight how you approached these problems, the solutions you implemented, and the outcomes. This will show your resilience and initiative in evolving project environments.
✨Familiarize Yourself with the Company’s Domain
Research the medical devices sector and understand the types of data and documents you might encounter. Being knowledgeable about the industry will help you tailor your responses and show your genuine interest in the role.
