Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. Bayer HealthCare combines the global activities of the Animal Health, Consumer Care, Medical Care and Pharmaceuticals divisions. Its aim is to discover, develop, manufacture and market products that will improve human and animal health worldwide. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Senior AI/ML Engineer (all genders)

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.

We are lookin for a Senior AI/ML Engineer (all genders) for designing, building, and deploying machine learning models and systems that drive our AI initiatives. You will work closely with data scientists, software engineers, and product managers to create robust and scalable AI solutions that enhance our products and services. Your expertise will be crucial in transforming data into actionable insights and delivering high-quality AI applications.

YOUR TASKS AND RESPONSIBILITIES

Design, implement, and optimize AI/ML/DL models based on use cases related to the processing of medical image and multi-modal data.
Deployment and Operationalization of AI workflows at Bayer’s owned platforms
Identify problems related to performance, utilization and scale in existing systems and conduct performance tuning and optimization
Collaborate with data scientists and internal/external development teams
Lead and supervise more junior or entry level Engineers
Develop tools and software solutions utilizing large language models and agentic AI
Document processes, model architectures, and best practices to facilitate knowledge sharing within the team.

WHO YOU ARE

Master degree in Computer Science with several years of work experience.
Well versed with Large Language Mode (LLM), Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) algorithms and techniques.
Hands-on experience in leveraging large language models (LLMs) and implementing agentic AI.
Excellent knowledge in the AI/ML related Google Cloud ecosystem and working experience in ML Ops including containerization, monitoring, versioning and automation.
Good understanding of the digital product development process as well as data science/engineering methodologies.
Expert programming ability in Python and experience in working with SQL/NoSQL database systems.
Good understanding of distributed systems, microservice architecture and REST APIs.
Strong analytical and problem-solving skills, with the ability to work with complex datasets.
Ability to effectively work across organizational boundaries with experience in working in international environments and good intercultural communication skills.
Strong written and oral communication skills in local language and English.

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us! 

We ensure your financial stability through a competitive compensation package, consisting of an attractive base pay and our annual bonus. In addition, managers can recognize special contributions by granting an individual performance award.
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.
Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
We support your health and well-being with free check-ups by our company doctor, health seminars, and a wide range of initiatives that promote a healthy lifestyle.
We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Berlin

Division: Pharmaceuticals

Reference Code: 851289