Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- 5.426 to 5.913€ Gross/Month
- Location
- Monheim
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop and optimize machine learning models using Python, collaborating closely with interdisciplinary teams to analyze complex datasets and communicate findings effectively.
Job Technologies
Your role in the team
- Design, implement, and optimize machine learning models using Python.
- Work with large, complex, and heterogeneous datasets in a research setting.
- Review, interpret, and reproduce methods from scientific literature.
- Collaborate with cross-functional stakeholders, including experimental scientists, to understand data generation processes and research needs.
- Communicate technical findings clearly to both technical and non-technical audiences.
- Contribute to best practices in code quality, reproducibility, and documentation.
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Our expectations of you
Education
- University degree in Computer Science, Data Science, Bioinformatics, or a related quantitative field.
Qualifications
- Strong programming skills in Python e.g., NumPy, pandas, PyTorch/TensorFlow or similar.
- Solid understanding of machine learning principles and model development workflows.
- Familiarity with deep learning or advanced modelling approaches is a plus.
- Demonstrated ability to read and implement methods from scientific publications.
- Interest in working at the interface of computational and experimental research.
- Strong problem-solving skills and attention to detail.
- Effective communication skills and ability to collaborate in interdisciplinary teams.
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What we offer
- The position is limited to 12 months, is full-time and located in Monheim, Germany.
- We ensure your financial stability with a competitive salary between €5,426.00 and €5,913.00 per month (full-time) plus annual bonus, holiday bonus, and Christmas bonus/13th-month salary.
- Your compensation is based on your qualifications, skills, and professional experience.
- Whether it's hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
- We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
- We promote health awareness and self-care.
- We encourage sustainable mobility by providing climate-friendly transportation options such as job tickets and leased company bikes.
- As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
- We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Topics that you deal with on the job
Job Locations
This is your employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
Machine Learning Engineer
- Salary
- 5.426 to 5.913€ Gross/Month
- Location
- Monheim
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
