AI & ML Engineer at Nexthink
May no longer be active — verify on the employer site
At a glance
- Company
- Nexthink
- Location
- Lausanne, Switzerland
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
✨ The Stack take on this Nexthink job
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Design and implement scalable AI products with emphasis on agentic and multi-agent systems.
- Define evaluation criteria and automated metrics for LLMs; run experiments and A/B evaluations.
- Build and operate MLOps pipelines for training, deployment, monitoring and CI/CD of models and prompt/embedding configs.
- Integrate RAG, fine-tuning and reinforcement-learning components into production workflows.
- Collaborate closely with software engineers, data scientists and product to align AI capabilities with business needs.
- Mentor and coach junior engineers; promote reproducibility and best practices across the team.
Requirements:
- BSc/MSc in Computer Science, Machine Learning, Data Science or equivalent experience.
- Proven hands-on experience shipping LLM-powered production applications and instrumenting evaluations.
- Strong Python skills and experience with frameworks such as LangChain and PyTorch.
- Experience with cloud-based deployments (AWS) and MLOps tooling (pipelines, feature stores, automated evaluations).
- Knowledge of fine-tuning, optimization, RAG, reinforcement learning and multi-agent architectures.
- Strong data intuition: designing metrics, inspecting raw logs and quickly identifying regressions.
- Excellent communication and mentoring skills; proactive, collaborative and eager to learn.
Responsibilities
Design, develop, and deploy scalable AI-powered products with a focus on agentic systems and MLOps practices. Collaborate with cross-functional teams while providing mentorship and guidance to junior AI engineers.
Requirements
Requires a degree in Computer Science or related field and hands-on experience with LLM-powered production applications. Proficiency in Python, AI frameworks, and cloud-based AI deployments is essential.
Key skills
- Python — in 1200 other listings on The Stack
- Machine Learning — in 291 other listings on The Stack
- LLM — in 51 other listings on The Stack
- LangChain — in 19 other listings on The Stack
- PyTorch — in 92 other listings on The Stack
- AWS — in 802 other listings on The Stack
- MLOps — in 72 other listings on The Stack
- Reinforcement learning — in 22 other listings on The Stack
- Retrieval-augmented generation
- Multi-agent AI architectures
- CI/CD
- Data intuition
- Mentorship
- Problem-solving
- Communication
On The Stack (as of 2026-11-05)
Frequently asked questions about Nexthink
Is this AI & ML Engineer role still open?
It was posted on 2026-04-23. Listings more than 30 days old may no longer be active, so check Nexthink's site before applying.
Does Nexthink offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Nexthink's site.
Where is this role located?
The listing gives the location as Lausanne, Switzerland. It is marked on-site.
What skills does this role ask for?
The listing names: Python, Machine Learning, LLM, LangChain, PyTorch, AWS, MLOps, Reinforcement learning, Retrieval-augmented generation, Multi-agent AI architectures, CI/CD, Data intuition, Mentorship, Problem-solving, Communication.