Senior AI Machine Learning Engineer

Senior Hybrid Lausanne, Switzerland Full-time Опубликовано 2 месяца назад

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Навыки и стек

Languages

Python

Tools & Infra

AWS

Skills

LangChain LLM PyTorch

О роли

Senior AI Machine Learning Engineer at Nexthink in Lausanne, Switzerland. The role is hybrid and full time. You will design, build, and deploy scalable LLM-powered AI products with a focus on agentic systems, evaluation, MLOps, and collaboration with cross-functional teams.

Work format

Hybrid in Lausanne, Switzerland. Full-time role.

Skills and tools

Python
LangChain
PyTorch
AWS
LLM

What to prepare

Prepare a short example of LLM work you have shipped in production.
Review a project where you used Python, LangChain, PyTorch, or AWS.
Be ready to explain how you measured model quality and handled monitoring.

Обязанности

Design and implement AI-powered products with a focus on agentic systems.
Create evaluations and define metrics for LLM-based systems.
Implement and manage MLOps pipelines, deployment, monitoring, and maintenance.
Work with software engineers, data scientists, and product teams.
Mentor junior AI engineers.

Требования

Strong Python, LangChain, and PyTorch experience.
AWS and cloud-based AI deployment experience.
Hands-on work with LLM-powered production applications.
Knowledge of model fine-tuning, optimization, and evaluation.
Ability to communicate AI concepts to technical and non-technical stakeholders.

Nice to have

Experience with reinforcement learning, retrieval-augmented generation, and multi-agent AI architectures.
MLOps experience with reproducible pipelines, automated evaluations, feature stores, and CI/CD for models or prompt and embedding configs.
Ability to inspect raw logs, design metrics, and spot quality regressions.

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Nexthink

Product

Swiss digital employee experience (DEX) management company founded in 2004, dual-headquartered in Lausanne and Boston. Nexthink's real-time analytics platform monitors device, application and network

Локация: Lausanne, Switzerland
Размер команды: 1000+
Формат работы: Hybrid

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