Merck KGaA

Merck is a vibrant team of specialists in Healthcare, Life Science and Performance Materials. We share a love of science and a passion for technology. We are headquartered in Darmstadt, with around 52,000 employees in around 70 countries.

Merck KGaA Darmstadt, Germany
Full time
A career is an ongoing journey of discovery: our 52,000 people are shaping how the world lives, works and plays through next generation advancements in healthcare, life science and performance materials. For 350 years and across the world we have passionately pursued our curiosity to find novel and vibrant ways of enhancing the lives of others. Your role: As Senior Machine Learning Engineer in our Chief Digital Organization (CDO), you will directly influence the way we develop and deploy our machine learning projects. We drive machine learning projects in R&D, production, supply chain, marketing and sales, generating a huge impact across the business. We are looking for engineers to own and drive the deployment of these projects bringing in new ideas in all areas of software engineering. As the machine learning engineer, you will have the chance to work on a number of key projects across different businesses and have an immediate impact on the company and our customers. You will be able to develop and grow, working with different teams and technologies every day. We want our engineers to be enthusiastic about solving new problems as we continue to push the envelope on our machine learning projects. We are  the vibrant science and technology company. Here at the CDO, we hire curious people from diverse backgrounds who are ready to make an impact. We hire people who like to learn, share and grow as part of an exceptional team.     Who you are MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field 3+ years of relevant work experience in software development Experience with programming languages, preferably Python Experience with one or more of the following: deployment on cloud platforms (AWS, GCP, Azure) / working with deep learning libraries (Tensorflow, Caffe, Keras, etc.) / deploying Containers (Docker, etc.) / working with and optimizing for GPU-based High-Performance Environments What we offer: We empower you to fulfill your ambitions, and our diverse businesses offer various career moves to seek new horizons. We trust you with responsibility early on and support you to draw your own career map that is responsive to your aspirations and priorities in life. Join us and bring your curiosity to life!   Let’s stay connected Do you want to receive company news and information about career opportunities tailored to your preferences? Sign up here. You want to check the status of your application or change your candidate profile? Enter our job portal. Links Stay connected  → Job Portal  →