Senior AI/ML Engineer (m/f/d)

As a Senior AI/ML Engineer at Redcare Pharmacy, your primary responsibilities will include building and deploying AI and ML models to tackle real-world challenges within digital healthcare. You'll develop and maintain robust machine learning pipelines to ensure scalability, while collaborating with cross-functional teams to integrate AI capabilities into key operations. Staying updated on the latest advancements in the field and conducting thorough tests and optimizations on your solutions will also be vital to your success.

To qualify for the Senior AI/ML Engineer role at Redcare Pharmacy, you should hold a Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Natural Sciences, or a related field. You also need at least 5 years of hands-on experience with popular machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Expertise in cloud platforms like AWS or Azure, and strong programming skills in Python are essential, alongside experience with containerization and CI/CD tools.

At Redcare Pharmacy, we provide a supportive work environment packed with various benefits for our Senior AI/ML Engineers. This includes a membership package at Urban Sports Club, mental health support from professional psychologists, flexible work-from-home arrangements, and opportunities for personal development through training programs. Additionally, we offer a kindergarten grant for employees with children and generous employee discounts on products in our online store.

The work environment for a Senior AI/ML Engineer at Redcare Pharmacy is vibrant and collaborative. We take pride in our passionate teams that drive innovation and creativity. You will work alongside talented professionals who share a commitment to making a significant impact in digital healthcare. We encourage open communication and support, ensuring that each employee feels valued and inspired to contribute to our mission.

Redcare Pharmacy stands out as a remarkable workplace for Senior AI/ML Engineers due to its focus on innovation, team collaboration, and employee well-being. By leveraging cutting-edge AI technology for meaningful health solutions, you will contribute to a purpose-driven mission while enjoying a supportive culture that values personal and professional growth. Our competitive benefits further enhance the overall experience, making us Europe's leading e-pharmacy.

When answering this question, focus on a specific AI/ML project where you faced significant challenges. Describe the problem, the approach you took, and the outcome. Use metrics or results to highlight your success and reflect on the learning experiences that shaped your skills.

Discuss your methods for keeping abreast of trends, such as following reputable journals, participating in conferences, contributing to forums, or networking with other professionals. Mention specific resources that have been beneficial for your continual learning in AI/ML.

Be prepared to mention specific frameworks like TensorFlow or PyTorch, detailing your practical experience with each. Explain why you favor one framework over another based on project requirements, user-friendliness, or community support, demonstrating your depth of knowledge in the field.

Illustrate your methodology for data cleansing and preprocessing. Explain techniques such as imputation, normalization, or the use of advanced algorithms that can handle missing values or reduce bias, showcasing your strategic approach to ensuring data integrity.

Describe your familiarity with cloud platforms like AWS, Azure, or GCP. Provide examples of projects where you utilized cloud-based services for model deployment, training, or data storage, highlighting the benefits these platforms offered to your ML solutions.

Discuss your strategies for model validation such as cross-validation, A/B testing, or using validation data sets. Emphasize the importance of ensuring accuracy, reliability, and robustness of models through thorough testing processes.

Share specific experiences you have with CI/CD tools like Jenkins or GitLab. Detail how these tools have streamlined your ML workflows, facilitated continuous integration of code changes, and improved the delivery process of machine learning solutions.

Articulate your vision for the future of AI/ML in healthcare. Discuss potential advancements such as predictive analytics for patient outcomes, personalized medicine, or AI-driven diagnostics, demonstrating your foresight and understanding of the sector's evolution.

Provide a specific example of a project where you collaborated with team members from different functions. Highlight your role, how you contributed to the team's objectives, and how your actions helped bridge any gaps between technological and business needs.

Elaborate on your approach to optimization, including techniques like hyperparameter tuning, feature selection, or implementing ensemble methods. Discuss how you measure the effectiveness of these strategies and their impact on model performance.