Nexthink
Senior AI Research Engineer(m/w/x)
Full-timeWith HomeofficeSenior
Lausanne
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NENexthink
Senior AI Machine Learning Engineer(m/w/x)
Lausanne
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing agentic AI systems for digital employee experience management. 5+ years LLM production experience required. Hybrid work, relocation package.
Requirements
- BSc/Master’s degree in Computer Science, Machine Learning, Data Science, or related field
- 5+ years 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
- Ability to work in fast-paced, collaborative environment
- Eagerness to learn and adapt
- Strong communication skills in English
- Ability to explain complex AI concepts to stakeholders
- Knowledge of reinforcement learning, RAG, and multi-agent AI architectures
- Strong data intuition
- Ability to inspect raw logs, design metrics, and 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
- Excited about pushing AI boundaries
- Willingness to mentor next generation of engineers
- Encouraged to apply even if not meeting every requirement
Tasks
- Design and develop scalable AI solutions
- Deploy AI solutions using cutting-edge technologies
- Enhance digital employee experiences for millions
- Lead AI product development with a focus on Agentic systems
- Create evaluations and define success metrics for AI platforms
- Implement and manage MLOps practices
- Streamline model deployment, monitoring, and maintenance
- Collaborate with software engineers, data scientists, and product teams
- Align AI capabilities with business needs
- Mentor and support junior AI engineers
- Foster a culture of learning and knowledge sharing
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangChain
- PyTorch
- AWS
- MLOps
- Reinforcement learning
- Retrieval-augmented generation (RAG)
- Multi-agent AI architectures
Benefits
Competitive Pay
- Competitive compensation package
Additional Allowances
- Relocation package
Modern Office
- Beautiful office with lake view
Flexible Working
- Hybrid work model
- Flexible hours
More Vacation Days
- Unlimited vacation
Social Impact
- 3 company-paid volunteer days
Healthcare & Fitness
- Free fitness centre access
Public Transport Subsidies
- Public transport travel card reimbursement
Learning & Development
- French classes reimbursement
Snacks & Drinks
- Fresh fruit, cookies, and soft drinks
Team Events
- Company and team events
Bonuses & Incentives
- Referral bonuses
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nexthink and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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NENexthink
Senior AI Machine Learning Engineer(m/w/x)
Lausanne
Full-timeWith Home OfficeSenior
AI/ML
Data Science
Nejo AI Summary
Developing agentic AI systems for digital employee experience management. 5+ years LLM production experience required. Hybrid work, relocation package.
Requirements
- BSc/Master’s degree in Computer Science, Machine Learning, Data Science, or related field
- 5+ years 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
- Ability to work in fast-paced, collaborative environment
- Eagerness to learn and adapt
- Strong communication skills in English
- Ability to explain complex AI concepts to stakeholders
- Knowledge of reinforcement learning, RAG, and multi-agent AI architectures
- Strong data intuition
- Ability to inspect raw logs, design metrics, and 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
- Excited about pushing AI boundaries
- Willingness to mentor next generation of engineers
- Encouraged to apply even if not meeting every requirement
Tasks
- Design and develop scalable AI solutions
- Deploy AI solutions using cutting-edge technologies
- Enhance digital employee experiences for millions
- Lead AI product development with a focus on Agentic systems
- Create evaluations and define success metrics for AI platforms
- Implement and manage MLOps practices
- Streamline model deployment, monitoring, and maintenance
- Collaborate with software engineers, data scientists, and product teams
- Align AI capabilities with business needs
- Mentor and support junior AI engineers
- Foster a culture of learning and knowledge sharing
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangChain
- PyTorch
- AWS
- MLOps
- Reinforcement learning
- Retrieval-augmented generation (RAG)
- Multi-agent AI architectures
Benefits
Competitive Pay
- Competitive compensation package
Additional Allowances
- Relocation package
Modern Office
- Beautiful office with lake view
Flexible Working
- Hybrid work model
- Flexible hours
More Vacation Days
- Unlimited vacation
Social Impact
- 3 company-paid volunteer days
Healthcare & Fitness
- Free fitness centre access
Public Transport Subsidies
- Public transport travel card reimbursement
Learning & Development
- French classes reimbursement
Snacks & Drinks
- Fresh fruit, cookies, and soft drinks
Team Events
- Company and team events
Bonuses & Incentives
- Referral bonuses
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Nexthink and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Nexthink
Industry
IT
Description
Nexthink is a leader in digital employee experience management software, providing IT leaders with insights to optimize employee experiences.
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