Associate Principal Scientist (m/f/d) Senior Machine Learning Engineer

The position

We are seeking an engineer who wants their infrastructure work to drive scientific impact by turning promising AI models into reliable, reusable assets for biology research. As one of the first hires in our new Applied AI & Analytics team within Boehringer Ingelheim’s Global Computational Innovation Unit in Vienna, a growing international team with colleagues in Vienna (Austria), Biberach (Germany), and Ridgefield (USA), you will build the engineering backbone for model training, fine-tuning, evaluation, and deployment, enabling scientists to move from prototype to production quickly and consistently. As our platform evolves and central MLOps capabilities mature, your role will increasingly focus on applied ML/DL model development and adaptation in close collaboration with scientists and data engineering teams across our global Computational Innovation network (@computationalinnovation).

Tasks & responsibilities

• Build and own the team’s ML lifecycle tooling, including reproducible training and fine-tuning pipelines, experiment tracking, model registries, and the packaging and deployment of deep learning models.


• Drive efficient and reproducible model development by managing compute environments, GPU workloads, and large-scale biomedical datasets on cloud platforms such as AWS/SageMaker and Databricks.


• Transform prototype code into robust, reusable solutions, establishing frameworks, templates, and best practices that accelerate delivery across projects.


• Collaborate closely with data engineering, platform, and AI science teams to integrate ML solutions into the broader Computational Innovation ecosystem.


• Evolve from ML platform ownership toward applied ML/DL development, contributing increasingly to model adaptation, fine-tuning, evaluation, and the delivery of AI solutions for scientific use cases as the platform matures.

Requirements

• Degree in Computer Science, Engineering, or a related field, with hands-on experience as an ML Engineer, MLOps Engineer, or in a similar role.


• Strong software engineering skills in Python, with proven experience deploying, serving, and maintaining ML/DL models in production environments.


• Demonstrated MLOps expertise, including reproducible pipelines, experiment tracking, model versioning and registries, containerization (Docker), and cloud-based ML infrastructure (AWS, Azure, or similar platforms).


• Strong interest and aptitude in Machine Learning and Deep Learning, with hands-on experience training and fine-tuning models and a desire to grow further in applied ML/DL development.


• Experience or interest in scientific, pharmaceutical, or biomedical applications is a strong advantage, although deep domain expertise is provided by other members of the team.

Your Benefits

• Flexible working time models: home office and flexible working hours, depending on department and position – many things are possible with us.


• Additional days off (“bridge-days”): more free time through additional days off to bridge single working days between bank holidays and the weekend – without having to use vacation days.


• Canteen & Cafeteria: whether it's coffee and croissant for breakfast, various lunch menus or snacks in between – our subsidized staff restaurant & cafeteria has something for every taste including vegetarian and vegan options.


• Learning & development: diverse training and development opportunities for your personal and professional growth. Because: you never stop learning.


• Health promotion: health is important to us – that's why we offer different programs to promote physical and mental health.


• Public transport ticket: we encourage our employees to use public transport on their daily way to work. Costs for public transport? We cover them!

The minimum gross annual salary for this position is € 90.900 per year (full-time) according to the classification in the collective bargaining agreement for the chemical industry. Depending on professional experience and qualifications, we offer an overpayment.

We are looking forward to receiving your application online!

By uploading your application documents via our application portal, we can treat your data confidentially and in compliance with the GDPR.

Do you have any additional questions about the position? Your HR Recruiting Manager for this position is Magdalena Dzieweczyńska.

On our career site you will find further information about Boehringer Ingelheim as an employer as well as information about the application process and our different departments.

Would you like to know what makes our employees special? What they tell about their motivation and their everyday work? Watch this video and hear for yourself what our colleagues have to share.