Senior AI Machine Learning Engineer

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Senior AI Machine Learning EngineerFull-timeDepartment: AI AgentsDept: AI AgentsDivision: EngineeringCompany DescriptionNexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.#LI-HybridJob DescriptionAre you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as a Senior ML Engineer!As a key member of our AI team, you will design, develop, and deploy scalable AI solutions, leveraging cutting-edge technologies to enhance digital employee experiences for millions worldwide.ResponsibilitiesLead AI Development – Design and implement AI-powered products, with a strong focus on Agentic systems.LLMs done right – Create evaluations and define metrics of success using cutting edge AI platforms.MLOps - Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments.Collaboration & Leadership – Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs.Mentorship & Coaching – Guide and support junior AI engineers, fostering a culture of learning and knowledge sharing.QualificationsBsc/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.5+ years of hands-on experience in LLM-powered production applications.Strong proficiency in Python and AI frameworks (e.g., LangChain, PyTorch).Proven experience with AWS and cloud-based AI deployments.Solid 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 adaptStrong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - we believe in learning by sharingKnowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures.Strong data intuition: ability to inspect raw logs, design metrics and quickly identify quality regressionsHands-on experience with MLOps: reproducible pipelines, automated evaluations, feature stores, CI/CD for models or prompt/embedding configsFamiliarity with MLOps best practices for deploying and monitoring AI models in production.If you’re excited about pushing the boundaries of AI and mentoring the next generation of engineers, we’d love to hear from you! Even if you don’t meet every requirement, we encourage you to apply—we value expertise, passion, and the drive to learn.Additional InformationWe are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and...