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.

For our Global IT HUB, we are looking for:
Machine Learning Engineer, who has deep industry experience, the functional insights, the data power, and the digital tech leadership to generate outstanding customer and company value.
The Digital Transformation & IT Enabling Function has deep industry experience, the functional insights, the data power, and the digital tech leadership to generate outstanding customer and company value.
We are the powerhouse and spearhead for the transformation and digitalization of Bayer and deliver functional data & technology solutions that truly increase organizational capability. We take ownership of the digital portfolio and realize business benefits for Bayer across different functions like finance, supply chain, procurement, HR and Divisions

You will
Work globally, cross domain & cross technologies to support fast, small scale analytical prototypes as well as driving the scaling and industrialization of respective products
Conceptualize, develop and deploy analytical solutions and products in on-premise and cloud environments (end-to-end)
Translate non-technical and specific machine learning requirements into design specifications & reference architectures around data pipelines, CI/CD pipelines and hosting infrastructure
Consult in analytical use cases in terms of software engineering related considerations to enable a smooth scale-up phase of prototypes into production
Draft and implement operations & lifecycle management concepts for running & decommissioning analytical products and the underlying infrastructure
Collaborate with product line leads and data scientists to manage the entire lifecycle of analytical product

Major tasks and responsibilities

Minimum of a Master degree in Computer Science, Mathematics, Statistics, Physics or comparable studies
Expert knowledge in cloud engineering, preferably in AWS
Advanced knowledge of data & machine learning pipelines and infrastructure, front-end applications and respective overarching software design patterns
Advanced competencies around DevOps principles and tool stack (e.g. CI / CD, Docker, Kubernetes, Infrastructure as Code, event driven architecture, ELK Stack)
Advanced knowledge in terms of relational (SQL-type) databases and data warehouses
Experience with NoSQL databases (e.g. MongoDB) or big data infrastructure (hadoop, spark) beneficial
Good knowledge in the following fields: Data Science, Statistics, Machine & Deep Learning and Visualization
Strong programming skills in Python, R, JavaScript or comparable
Strong conceptual, quantitative and problem solving skills
Focus competencies: Cultivates Innovation, Collaborates, Manages Complexity
Ability to work successfully with people from a variety of different cultures and backgrounds
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 and 2 weeks/year outside the EU.
Career development with wide access to professional development tools & trainings.
Competitive salary, bonus & top performers awards on recognition in case of exceeding contribution
Meals Subsidy in 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, laundry/drycleaner service, bicycle parking

YOUR APPLICATION

Bayer is an equal opportunity employer. We care about inclusion in terms of gender, age, race, skin color, nationality, religion, marital status, sexual orientation, background, physical or mental disabilities and on every other grounds. Applying for our position, we assure you that we will assess your application solely based on your competencies.

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.

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Bayer offers the possibility of working in a hybrid model. We know how important work-life balance is, so our employees can work from home, from the office or combine both work environments. The possibilities of using the hybrid model are each time discussed with the manager.

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:
Spain : Cataluña : Barcelona

Division:
Enabling Functions

Reference Code:
570461