Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you’ll build and automate production-level machine learning pipelines to drive our marketing programs at On. You’ll partner with business, marketing, and data science teams to design, test, and deploy robust and scalable solutions. You will ensure our models are reliable and effectively integrated into our marketing technology stack.

• Drive impact through AI: Collaborate with data scientists to translate models into production-grade machine learning services that drive strong business impact through our marketing technology stack (e.g., email service providers, ad platforms, app platforms).
• Platform excellence: Design, build, and maintain scalable and reliable data and model pipelines. Build an ML Ops infrastructure that monitors model performance and implement alerting to ensure high availability and accuracy.
• Data culture: Work with cross-functional teams to understand business requirements and needs, and translate these into technical plans. AI/ML Best Practices: Contribute to the development of our MLOps best practices and infrastructure.

• Technical Acumen: 6+ years of experience in implementing complex machine learning initiatives and independently designing production grade end to end ML/AI pipelines (e.g. Kubeflow, MLflow, Airflow). You have strong programming skills in Python.
• Deep Machine Learning Expertise: You have a strong theoretical foundation and practical expertise in areas such as deep learning, embeddings, clustering models, and prediction.
• AI platform Experience: You are familiar with the core components of AI platforms and have experience in working with production grade AI platforms and components (e.g. Vertex AI, Docker, Kubernetes).
• Cloud and Platform Expertise: You are have experience with cloud-based machine learning platforms (e.g. GCP, AWS).
• Team player: To be successful you will need to partner with a range of data science and engineering team members. You have strong communication and interpersonal skills, allowing you to effectively convey complex technical information to diverse audiences.
• Gen AI: Experience deploying Generative AI a plus

You will be part of a growing and diverse team of data engineers, data scientists and product managers passionate about revolutionizing how we leverage AI/ML to solve complex challenges across On. We are building innovative machine learning solutions to optimize internal processes, enhance customer experiences, and drive business growth in areas ranging from e-commerce to supply chain optimisation.

On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.

We want to set everyone up for success, so here’s the lowdown on how we hire. Our process is a two-way street – bringing you into our culture, while helping us learn how you think.

Our full process can last about eight weeks from application to offer, because we care about getting it right. These steps explain how we usually do things.