At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Senior Machine Learning Engineer

Why Bayer?

“Health for all and Hunger for none” is our mission at Bayer. Every day, we are privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at Bayer to have a career that you can put your passion into practice and make an impact using Science for a better life.

The Decision Science unit at Bayer Pharmaceutical is a one stop shop for all enterprise advanced analytics projects. We work across all functions in Bayer from Medical Affairs to Pharmacovigilance to Regulatory Affairs and others. We solve hard analytical problems and build solutions with the mission to improve the overall efficiency and decision making in the company. The focus of this team lies in applications involving Natural Language Processing techniques and patient Real World Data but does not exclude other areas of advanced analytics. If you are interested in joining a dynamic team to industrialize bleeding edge advanced analytics algorithms, we would like to hear from you.

For our global team we are looking for a ML Ops Engineer to strengthen the global Digital Transformation & IT – Pharma organization. The position is located in our team IT team in Barcelona.

Your Tasks And Responsibilities

Drive and lead business and innovation projects in the areas of Medical Affairs, Pharmacovigilance and Regulatory Affairs to deliver fit-for-purpose AI solutions as part of digital products.
Lead projects, other ML Engineers and data scientists applying an agile approach
Lead scaling up activities transforming data science prototypes to end to end solutions embedded in business processes by leveraging skills across a large IT unit working with Business Domain Expert in their daily work.
Leads and carries out data engineering, data modeling, and AI and data infrastructure tasks.
Leads and carries out the deployment of machine learning (ML) / deep learning (DL) models and helps improve existing ML/DL models in production.
Design and Implement Cloud based Architectures ready to host ML models and pipelines.
Establish strong link with stakeholders in the business to help shape and execute the digital agenda strategy.
Create opportunities for digital product development by identifying pain points in the business to improve efficiency and decision making.
Collaborates with scientists and analysts performing business analysis and domain modeling.
Publish innovative methodologies, architectures and scientific discoveries in peer reviewed journals.




You are somebody (m/f/d) passionate about scaling up and deploying advanced analytics algorithms to make the world a better and more efficient place. You are interested in joining an energetic team of data scientists and other machine learning engineers working across disciplines from Natural Language processing to working with patient Real World Evidence data and others. You describe yourself as hands-on, able to code, solution orientated and able to analyze data. You like to explore and try out new technologies and concepts. You can present your results and outline potential solutions for deployment to the business

Bachelor with long term experience, Master with long term experience or PhD with several years of industry experience in machine learning, statistics, applied mathematics or computer science, with strong knowledge of machine learning and deep learning
Strong track records leading the delivery of groundbreaking machine learning projects
Basic level knowledge in statistical machine learning and/or Deep Learning, in particular in Natural Language Processing
Strong experience in Data Engineering ( connecting to new data sources, storing the data, choose the right storage engine and transforming and cleaning the data)
Very good knowledge of Cloud native application architecture and being able to create ML solutions in the Cloud
Very good coding knowledge in Python, familiar with at least one Cloud framework (e.g. AWS) as well as proficiency with machine learning and deep learning frameworks such as TensorFlow or PyTorch
Strong business analyst skills and strong experience interacting with very diverse customers is required
Strong skills in presentation of results and outlining of solutions to the business
Ability to work in an interdisciplinary and agile environment
Fluent in English both written and spoken

In exchange we will offer you:

A flexible hybrid work model (Home Office) including the option to work anywhere within the EU or outside the EU for extended periods of time (up to 3 months).
Career development with wide access to professional development tools & trainings.
Competitive salary, bonus & top performers awards on recognition in case of exceeding contribution.
Subsidized meals in the office
2 additional annual leave days after 3 years in the company.
Life & Accident Insurance
100% salary coverage in the event of medical leave
In-house medical service at Bayer premises open 5 days a week for 8 hours.
24-hour psychological, medical, and social care for employees and family.
Annual medical check-up
Subsidized sports groups, physiotherapy service, online gym.
At Bayer office: fitness room, parcel lockers, dry-cleaning/laundry service, bicycle parking.

Educational level:

Bachelor’s Degree

How to apply:

Please mention NLP People as a source when applying


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