Job Description Summary

Data Science for Pharmacy Automation is a young team of data professionals within a well-established global company.

Our goal is to enhance existing products with AI, build scalable and functional services, and explore new opportunities where data can help build new products.

We are doing that by bringing together curious people with inventive minds and diverse experience and letting them build tailored solutions in an agile way.

We are looking for a motivated Senior Machine Learning Engineer (m/f/d) to join our growing team.

Job Description

We are the makers of possible 
BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 
 
Why Join Us?

A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time. 
To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place.

Become a maker of possible with us!

Role overview:

You will be exploring the opportunities hidden in massive amounts of structured and unstructured data, developing solutions based on statistics and machine learning, and deploying them to production environments. 

This is a key role within our team, since you will be responsible for being a subject matter expert in data management and applying automation principles to data analysis. You are very welcome to actively bring your own ideas.

Team values:

As a team, we care about efficiency and actively use cloud services for quicker prototyping and development. We believe in cross-functional teams and try to stick to agile methodologies for project delivery phases. We foster knowledge sharing and make sure every team member learns and grows fast.

 

Key Responsibilities:

• design and implement Machine Learning solutions

• create robust data pipelines and ML workflows in cloud

• collect and curate training and validation datasets for Computer Vision

• monitor, analyze, and maintain ML models in production

• collaborate with stakeholders to understand business requirements

 

Skills and Experience:

We expect that you:

• have significant professional experience in data analytics and developing statistical or ML solutions

• are fluent in Python and respect software engineering principles of your choice (KISS, DRY, etc.)

• use Git for code versioning

• use Docker and/or virtual environments for local development

• know your way around SQL for data exploration

• feel comfortable explaining complex things in simple terms

• know the right balance between solving the initial problem and running never-ending research

Would be nice if you:

• have experience with Computer Vision models in production

• are comfortable with the tools for orchestrating data pipelines and ML workflows

• have hands-on experience with vision systems and/or robotics hardware

• are familiar with cloud services (Azure, AWS, GCP)

• know your way around "big data" processing

• are familiar with MLOps and CI/CD principles

Education and experience:

• Degree in Computer Science, Data Science, Statistics, Mathematics, or a related field and/or years of experience

• 3+ years of professional hands-on experience in data science or ML roles

According to the collective bargain ag