Senior AI Machine Learning Engineer

Overview As a Senior ML Engineer at Nexthink, you design, build, and deploy AI-powered products that optimize digital employee experiences at scale. You’ll lead AI development within a collaborative AI team, focusing on agentic systems and cutting-edge ML platforms. You drive production deployments with robust MLOps practices and mentor junior engineers. This role offers impact across millions of users and opportunities to shape the future of AI-enabled IT experiences.

Leistungen / Benefits Permanent contract and competitive compensation Hybrid work model Flexible hours and unlimited vacation Company-paid volunteer days Relocation package Reimbursement of half-fare travel card Verantwortungsbereiche Design and implement AI-powered products with focus on Agentic systems Define evaluation metrics and success criteria for LLM-based solutions Build and manage MLOps pipelines for production models Collaborate with software engineers, data scientists, and product teams to align AI with business needs Mentor and coach junior AI engineers, fostering knowledge sharing Zentrale Anforderungen BSc/Master’s in Computer Science, Machine Learning, Data Science, or related field 5+ years of hands-on experience in LLM-powered production applications Proficiency in Python and AI frameworks (e.g., LangChain, PyTorch) Proven experience with AWS and cloud-based AI

deployments Strong understanding of AI model fine-tuning, optimization, and evaluation Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment Eagerness to learn and adapt Strong communication skills in English Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures Hands-on experience with MLOps: reproducible pipelines, feature stores, CI/CD for models or prompt/embedding configs Familiarity with MLOps best practices for deploying and monitoring AI models in production communication collaboration mentorship LangChain PyTorch LLMs