AI & ML Engineer at Nexthink

Lausanne, Vaud, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

09 Jun, 26

Salary

0.0

Posted On

11 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, MLOps, Python, AI Frameworks, AWS, AI Model Fine-Tuning, Problem-Solving, Communication, Reinforcement Learning, Retrieval-Augmented Generation, Multi-Agent AI Architectures, Data Intuition, Automated Evaluations, Feature Stores, CI/CD, Prompt/Embedding Configs

Industry

Software Development

Description

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 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-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 an AI & 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. 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. Department: AI Agents Dept: AI Agents Division: Engineering

Responsibilities

As an AI & ML Engineer, you will design, develop, and deploy scalable AI solutions to enhance digital employee experiences. You will lead AI development, implement MLOps practices, and mentor junior engineers.