Company Description Nexthink 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 customersto provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description Are 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. Responsibilities - Lead 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. Qualifications - Bsc/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 adapt - Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - we believe in learning by sharing - Knowledge 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 regressions - Hands-on experience with MLOps: reproducible pipelines, automated evaluations, feature stores, CI/CD for models or prompt/embedding configs - Familiarity 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 Information We 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 equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Beautiful office with a view of Lake Geneva, conveniently located next to the Prilly-Malley train station - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25 days of holidays we offer) plus 3 company-paid volunteer days. - Free access to a fitness centre inside the building. - Reimbursement of the half-fare travel card for public transport. - ‍ Reimbursement up to 50% of the cost of French classes. - Fresh fruit, cookies, and soft drinks as well. - Regular company and team events like Voluntary Days, Pizza talks, Team Building activities, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

• Design and implement WPF-based UI components for the Migration Agent SDK • Build reusable, configurable UI workflows to support data migration scenarios • Integrate UI with backend migration logic, including progress reporting, retries, validation, and error handling • Handle integration points with authentication, provisioning, and other web-based services • Contribute to SDK documentation and usage guidelines for consuming teams • Maintain high standards of code quality, testability, and performance • Collaborate with backend engineers, cloud services teams, and product stakeholders

Role Description We are looking for an exceptional and ambitious engineer who enjoys architecting systems, working in an agile start-up development environment, and leveraging AI to redefine engineering velocity. As an engineer on our team, you will focus on backend development across all our products. - You will be the engineer others look to when the problem is hard, the path forward is unclear, or the stakes are high. - As a key individual contributor, you won't just build; you will bridge the gap between engineering and the broader business, translating long-term goals into technical reality. - Model engineering best practices that elevate our entire organization. - Thrive in building scalable, flexible systems with an emphasis on improving maintainability. Qualifications - 10+ years of experience in software engineering, with a demonstrated track record of leading and executing technically complex, high-impact initiatives from inception through delivery. - Recent experience working on a small, agile team contributing to all phases of the software development lifecycle in a start-up environment. - Primary experience in Go, comfortable working across existing .NET and TypeScript codebases. - Experience implementing event-driven architecture within microservices ecosystems using tools like Apache Kafka. - Experience creating database schemas that represent and support business processes. - Strong understanding of object-oriented programming, data structures, and algorithms. - Strong experience with AWS platforms, including an understanding of their capabilities and limitations. - Experience with CI/CD pipelines and automated testing frameworks. - Proven ability to operate across organizational lines, comfortable influencing without authority, building consensus among diverse teams, and driving decisions that require alignment across product, engineering, and business stakeholders. - Deep software engineering fundamentals, with experience in multi-product architectures. - Experience working in an environment shaped by acquisitions or rapid growth, with an appreciation for the technical and cultural complexity that comes with it. - A track record of making well-reasoned technical decisions, evaluating options carefully, and pushing back on the first solution when a better one exists. - Strong collaboration and communication skills, able to clearly communicate to both technical and non-technical audiences. - A bias for ownership, taking projects seriously from start to finish, holding yourself accountable for outcomes, and proactively identifying and resolving risk before it becomes a problem. - Comfort with ambiguity and a builder's mindset, thriving when the path forward isn't defined, and enjoying working through complexity, solving tough problems, and enabling others to move faster. Requirements - High Contribution: Maintain a high bar for individual execution by writing clean, efficient, and production-ready code. - Rigorous Testing & Validation: Lead by example in code quality by defining testing standards and utilizing AI to generate robust test suites and edge-case discovery that ensure comprehensive coverage. - Proactive Problem Solving: Personally identify and execute fixes for deep-seated bottlenecks, architectural bugs, and performance issues that impact system stability. - Modernize Tooling: Evaluate and integrate emerging AI-powered tools to enhance operational efficiency and developer productivity. - Architectural Oversight & Quality: Lead architectural evaluations and design reviews to ensure systems remain flexible and scalable as the business grows. - QA Partnership: Partner effectively with QA to define test strategies, improve automated testing coverage, and ensure a seamless handoff from development to production. - Operational Health: Lead incident response and postmortem processes, establishing best practices to prevent recurrence of high-severity issues. - Champion Standards: Maintain code quality, organization, and automation across the broader engineering organization. - Technical Multiplier: Elevate the engineers around you through rigorous code reviews, design feedback, and modeling mature, thoughtful engineering judgment. - Lead Technical Discussions: Move teams to decisions, ensuring the best ideas surface regardless of where they originate. - Foster Accountability: Champion a culture of quality, where engineers take pride in end-to-end ownership, technical excellence, and proficiency in leveraging AI tools. Benefits - Purpose-driven organization - Flexible time off - Remote-first - Flexible work hours - our employees are in multiple time zones - Medical & dental plans - Parental leave - Employee stock options

• Acts as a technical leader responsible for the design, development, and implementation of protective relay settings • Performs short-circuit and symmetrical component analysis • Conducts time-current coordination, relay settings development, commission assistance, and protection system event analysis • Provides technical guidance to other engineers