
11 - 50 employees
The ICC Moot is one of the most prestigious moots hosted and organized annually by the Grotius Centre for International Legal Studies of Leiden University, The Hague Campus, with the institutional support of the International Criminal Court and International Bar Association.
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11 - 50 employees
The ICC Moot is one of the most prestigious moots hosted and organized annually by the Grotius Centre for International Legal Studies of Leiden University, The Hague Campus, with the institutional support of the International Criminal Court and International Bar Association.
âą Design, build, and deploy production ML and LLM-based systems (RAG, agentic workflows, fine-tuning, embeddings) for enterprise clients âą Own technical delivery end-to-end: from architecture and prototyping to deployment, monitoring, and iteration âą Work directly with client engineering and product teams to translate business needs into scoped, shippable technical solutions âą Mentor and support other ML engineers on the team â code reviews, technical guidance, and knowledge sharing âą Help shape internal best practices, tooling, and technical standards as the team grows âą Represent TensorOps technically in client conversations, workshops, and (optionally) at industry conferences
âą 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior âą Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code âą Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn) âą Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain âą Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows âą Experience deploying and scaling ML systems on AWS, GCP, or Azure âą Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency) âą Experience working with stakeholders or clients is a plus
âą 100% Remote Work: no mandatory office days, work from wherever âą Funded certifications: fully paid AWS and GCP professional certifications âą Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries âą International Clients: Collaborate with global organizations and solve real-world challenges at scale âą Urban Sports Club Membership: Supporting your physical and mental wellbeing âą Monthly Bolt Credits: For rides âą Company Events & Offsites: Regular team gatherings to connect, collaborate, and celebrate
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