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- Aufgaben: Tackle exciting ML and data engineering challenges in a dynamic pharma environment.
- Arbeitgeber: Join a leading client in the Pharma sector based in Rotkreuz, Switzerland.
- Mitarbeitervorteile: Enjoy a hybrid work setting with opportunities for continuous learning and growth.
- Warum dieser Job: Make an impact by developing innovative solutions and working with cutting-edge technologies.
- Gewünschte Qualifikationen: MS/PhD in relevant fields and at least one year of industry experience required.
- Andere Informationen: Open to Swiss nationals, EU citizens, and current work-permit holders; welcoming diverse applicants.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Machine Learning Engineer / Data Scientist vacancy for our Rotkreuz based client in the Pharma sector.
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 preprocessing, RAG implementation and LLM evaluation for different internal applications and use cases
Your experience/knowledge:
- MS/PhD in Computer Science, Data Science, Statistics, (Computational) Linguistics or related fields
- Minimum one year of industry 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
- Language skills: German and English
Your soft skills:
- Excellent comprehension skills with attention to detail
- A high degree of self-organisation and time management
- Analytical and solution-orientated thinking
Location: Rotkreuz, Switzerland
Work setting: Hybrid
Sector: Pharma
Start: 03/2025
Duration: 12 months
Workload: 100%
Ref .Nr.: BH 22547
Take the next step and send us your resume along with a daytime phone number where we can reach you.
Due to Swiss work permit restrictions, we can only consider applications from Swiss nationals, EU citizens as well as current work-permit holders for Switzerland.
Ukrainian refugees are warmly welcomed, we will support you all the way.
We welcome applications from individuals of all genders, age groups, sexual orientations, personal expressions, ethnic backgrounds, and religious beliefs. Therefore, there is no requirement to provide gender information or a photo in your application.
As per client requirements, we need information about your marital status, nationality, date of birth, and a valid Swiss work permit. For applicants with disabilities, we are happy to explore potential solutions with our end client.
RM Group AG
Chathurie Bandara
+41 58 356 0606
#J-18808-Ljbffr
Machine Learning Engineer / Data Scientist Arbeitgeber: RMIT Professional Resources AG
Kontaktperson:
RMIT Professional Resources 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 deploying machine learning models in production environments. Highlight specific projects where you successfully implemented ML solutions, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Familiarize yourself with the latest trends and technologies in the Pharma sector, especially those related to machine learning and data science. Being able to discuss how these innovations can impact the industry will set you apart during discussions.
✨Tip Number 3
Prepare to discuss your programming skills in Python and your experience with deep learning frameworks like PyTorch or TensorFlow. Be ready to provide examples of how you've used these tools to solve complex problems.
✨Tip Number 4
Since the role requires strong analytical and solution-oriented thinking, think of specific instances where you've tackled challenging problems. Be prepared to share your thought process and the outcomes of your solutions.
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 you fully understand the responsibilities and requirements of the Machine Learning Engineer / Data Scientist position. Tailor your application to highlight relevant experiences and skills that align with the job description.
Highlight Technical Skills: Emphasize your programming skills in Python and experience with deep learning frameworks like PyTorch, Tensorflow, or JAX. Provide specific examples of projects where you deployed and evaluated machine learning models.
Include Relevant Experience: Detail your industry experience in machine learning or related fields. Mention any specific projects or challenges you have tackled that relate to model deployment, evaluation, or data engineering.
Provide Required Information: Ensure you include all requested information such as marital status, nationality, date of birth, and valid Swiss work permit. This is crucial for compliance with client requirements.
Wie du dich auf ein Vorstellungsgespräch bei RMIT Professional Resources AG vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models, especially in production environments. Highlight specific projects where you deployed or evaluated models using Python and frameworks like PyTorch or TensorFlow.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical and solution-oriented thinking. Prepare examples of how you've tackled complex ML challenges or improved processes in previous roles.
✨Emphasize Adaptability and Initiative
The role requires a dynamic individual who can thrive in an evolving project environment. Share experiences where you took the initiative to shape a project or adapted to new challenges effectively.
✨Prepare for Language Proficiency
Since the position requires both German and English skills, be ready to demonstrate your proficiency in both languages during the interview. Practice discussing technical concepts in both languages to show your comfort level.
