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.