checkout.com - Staff AI/ML Engineer
Requirements
• Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits. • Working knowledge of common models, and their use cases and experience applying them to solve specific problems. • Solid engineering skills, including designing and implementing services / data models and features. • Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). • Expertise with modern data platforms (e.g., BigQuery / Databricks) and data processing workflows (ETL, pipelines). • Excellent experience with cloud hosted AI platforms (Bedrock, Sagemaker, VertexAI) • Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment. • Excellent communication and a drive to work effectively across diverse teams. • Experience developing AI / ML applications, including fine-tuning models or creating prototypes. • Awareness of ethical considerations and emerging best practices in AI governance. • Track record of developing rapid prototypes, and bringing them to production with a focus on measurable ROI. • Familiarity with distributed systems and large-scale data processing. • Contributions to open-source projects or a strong GitHub portfolio. • Thought leadership, any articles or talks you’ve given? • High levels of technical curiosity and an eagerness to learn new platforms • Additional information: • Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Friday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations. • It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. • Life at Checkout.com http://Checkout.com • We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. • Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. • For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
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