Nexthink
Industry · Engineering
Senior ML Engineer
CHF 130'000 – 150'000 / year
LAUSANNE
MACHINE LEARNINGREINFORCEMENT LEARNINGFINE-TUNINGML ENGINEERAI ENGINEERMLOPSLLMLLMSRAGAGENTICPYTORCHLANGCHAIN
Description
Nexthink is the leader in digital employee experience management software. As a Senior ML Engineer, you will design, develop, and deploy scalable AI solutions, leveraging cutting-edge technologies to enhance digital employee experiences.
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
- 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.
Benefits
- 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.