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 EngineerWhy 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 the new Bayer Digital Hub in Warsaw to have a career that you can put your passion into practice and make an impact using Science for a better life. For our global team, we are looking for a ML Engineer to strengthen the global Digital Transformation & IT - Pharma organization. The position is located in Barcelona.
YOUR TASKS AND RESPONSIBILITIESDrive and lead business and innovation projects in the areas of Medical Affairs, Pharmacovigilance or Radiology to design and implement AI & Data solutions, i.e., fit-for-purpose AI and data solutions which are embedded into digital products.Leads and implements data engineering, data modeling, and AI and data infrastructure tasks in a cloud native manner.Leads and implements 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.WHO YOU AREYou are somebody (M/F/d) passionate about scaling up, being hands-on and deploying AI & Data solutions and creating the necessary data foundations 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 or Computer Vision to working with patient Real World Evidence data and others. You describe yourself as hands-on, able to code (both infrastructure as code and solution code), solution-oriented, 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.
Minimum QualificationsBachelor 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 cloud engineering.Strong track records leading & implementing the delivery of groundbreaking machine learning or data projects.Well established knowledge in statistical Machine Learning and/or Deep Learning, in particular in Natural Language Processing or Computer Vision.Strong experience in Data Engineering (connecting to new data sources, storing the data in the Cloud, choose the right storage engine and transforming and cleaning the data).Very good software engineering knowledge in Python, familiar with at least one Cloud framework (e.g., AWS, GCP or Azure) 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 youA flexible hybrid work model (Home Office) including the option to work anywhere within the EU or outside.
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