Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug
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Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug

Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug

Zug Vollzeit 54000 - 84000 € / Jahr (geschätzt) Kein Home Office möglich
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Auf einen Blick

  • Aufgaben: Tackle exciting ML and data engineering challenges while deploying models and optimizing performance.
  • Arbeitgeber: Join Gi Group, a leading HR services provider transforming lives in Switzerland and beyond.
  • Mitarbeitervorteile: Enjoy flexible home office options and the chance to work with cutting-edge technology.
  • Warum dieser Job: Be part of a dynamic team, shaping innovative projects in a collaborative environment.
  • Gewünschte Qualifikationen: Master's or PhD in relevant fields with at least one year of industry experience in machine learning.
  • Andere Informationen: Fluency in German and English is required; only Swiss nationals and EU citizens can apply.

Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.

Client:

Gi Group SA

Location:

Job Category:

Other

Job Reference:

dfe1d34dc685

Job Views:

5

Posted:

06.03.2025

Expiry Date:

20.04.2025

Job Description:

For our client, one of the leading pharmaceutical companies, we are looking for a candidate with a Master’s or PhD in Computer Science, Data Science, Statistics, Linguistics or equivalent experience and a minimum of one year of industry experience in machine learning. The ideal candidate should have knowledge in ML and engineering, and have demonstrated the capability of self-organized research. No knowledge in sensor production and process engineering is required, but interest would be greatly appreciated. Additionally, we are looking for someone with good communication skills who can effectively communicate technical concepts to both technical and non-technical audiences and speak German and English fluently.

General Information:

  • Latest Start Date: 16.04.2025
  • Planned duration: 12 months
  • Extension: possible
  • Home Office: Yes, up to 2 days per week

Tasks & Responsibilities:

  • Solve core ML and data engineering challenges, handling model deployment and relevant backend/frontend engineering; as well as model evaluation, and fine-tuning.
  • 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.
  • 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.

Must Haves:

  • MS/PhD in Computer Science, Data Science, Statistics, (Computational) Linguistics or related fields.
  • Min. 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.
  • Good communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Fluent in German and English.
  • 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.

Your application:

Please apply online. For further information about the position, please contact your Gi Group recruiter, Mrs. Anh Nguyen (+41 76 586 02 13).

About Gi Group:

Gi Group is part of Gi Group Holding, a global ecosystem of HR services and consulting that supports the development of the labour market and helps to change people’s lives in 37 countries around the world.

In Switzerland we operate with the brands Gi Group, Grafton, BauTech, Gi Life Sciences and former Kelly Services. We are active in temporary, permanent and professional staffing as well as in a variety of complementary HR Services. With a direct presence in 35 locations across Switzerland and over 250 employees, we are one of the leading staffing companies in the Swiss recruitment market.

Gi Group is specialist for Temporary and Permanent staffing and your valuable partner for many other HR Solutions. We are changing lives by connecting candidates with companies, and we work every day to create value.

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Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug Arbeitgeber: TN Switzerland

Gi Group is an exceptional employer, offering a dynamic work environment in Zug that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for continuous learning and development in the rapidly evolving field of machine learning. Our inclusive culture encourages open communication and teamwork, ensuring that every team member's contributions are valued as we work together to make a meaningful impact in the pharmaceutical industry.
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Kontaktperson:

TN Switzerland HR Team

StudySmarter Bewerbungstipps 🤫

So bekommst du den Job: Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug

Tip Number 1

Make sure to showcase your hands-on experience with machine learning models. Highlight any specific projects where you've deployed models in production, as this is a key requirement for the role.

Tip Number 2

Since communication skills are emphasized, practice explaining complex technical concepts in simple terms. This will help you demonstrate your ability to communicate effectively with both technical and non-technical audiences during interviews.

Tip Number 3

Familiarize yourself with the latest trends in machine learning and data engineering. Being able to discuss recent advancements or techniques can set you apart from other candidates and show your passion for the field.

Tip Number 4

Since the role requires fluency in both German and English, consider practicing your language skills in a technical context. This could involve reading research papers or discussing ML topics in both languages to ensure you're comfortable during the interview.

Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug

Machine Learning
Data Engineering
Model Deployment
Model Evaluation
Python Programming
Deep Learning Frameworks (PyTorch, TensorFlow, JAX)
Semantic Interpretation
Document Preparation and Preprocessing
Experiment Design
Performance Benchmarking
Data-Driven Insights
Cross-Functional Collaboration
Technical Communication
Fluency in German and English
Adaptability
Self-Organized Research

Tipps für deine Bewerbung 🫡

Highlight Relevant Experience: Make sure to emphasize your Master's or PhD in Computer Science, Data Science, or related fields. Include specific examples of your industry experience in machine learning, particularly any projects where you deployed and evaluated models.

Showcase Technical Skills: Clearly list your programming skills, especially in Python and any deep learning frameworks like PyTorch or TensorFlow. Mention any relevant projects that demonstrate your technical capabilities in ML and data engineering.

Demonstrate Communication Skills: Since good communication is key for this role, provide examples of how you've effectively communicated technical concepts to both technical and non-technical audiences. This could be through presentations, reports, or collaborative projects.

Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Address your interest in the pharmaceutical industry and your adaptability to evolving project environments.

Wie du dich auf ein Vorstellungsgespräch bei TN Switzerland vorbereitest

Showcase Your Technical Skills

Be prepared to discuss your experience with machine learning models, particularly in deployment and evaluation. Highlight specific projects where you've used Python and frameworks like PyTorch or TensorFlow.

Communicate Clearly

Since the role requires explaining technical concepts to non-technical audiences, practice articulating complex ideas in simple terms. This will demonstrate your communication skills and ability to work with cross-functional teams.

Demonstrate Self-Organized Research

Share examples of how you've conducted independent research or tackled challenges in previous roles. This shows your initiative and ability to adapt in a dynamic project environment.

Prepare for Behavioral Questions

Expect questions about teamwork and problem-solving. Prepare anecdotes that illustrate your resilience and adaptability, especially in evolving project settings, as these traits are highly valued.

Machine Learning Engineer / Data Scientist 70-100% (m/f/d) (IT), Zug
TN Switzerland
Jetzt bewerben
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