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Senior ML Engineer(m/w/x)
Developing Agentic AI systems for digital employee experience management. 5+ years LLM production experience required. Unlimited vacation, hybrid work.
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 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
- Expertise, passion, and drive to learn
Tasks
- Design and develop scalable AI solutions
- Deploy AI solutions to enhance digital employee experiences
- 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
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- LangChain
- PyTorch
- AWS
Benefits
Flexible Working
- Hybrid work model
- Flexible hours
Mentorship & Coaching
- Structured onboarding for new hires
More Vacation Days
- Unlimited vacation
Social Impact
- 3 company-paid volunteer days
Job Security
- Permanent contract
Additional Allowances
- Relocation package
Modern Office
- Office with lake view
Parking & Commuter Benefits
- Office near Prilly-Malley train station
Healthcare & Fitness
- Fitness centre access
Public Transport Subsidies
- Public transport travel card reimbursement
Learning & Development
- French classes reimbursement
Snacks & Drinks
- Free fruit, cookies, and soft drinks
Team Events
- Company and team events
Bonuses & Incentives
- Referral bonuses
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Senior ML Engineer(m/w/x)
Developing Agentic AI systems for digital employee experience management. 5+ years LLM production experience required. Unlimited vacation, hybrid work.
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 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
- Expertise, passion, and drive to learn
Tasks
- Design and develop scalable AI solutions
- Deploy AI solutions to enhance digital employee experiences
- 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
- Bachelor's degree
Languages
- English – Native
Tools & Technologies
- Python
- LangChain
- PyTorch
- AWS
Benefits
Flexible Working
- Hybrid work model
- Flexible hours
Mentorship & Coaching
- Structured onboarding for new hires
More Vacation Days
- Unlimited vacation
Social Impact
- 3 company-paid volunteer days
Job Security
- Permanent contract
Additional Allowances
- Relocation package
Modern Office
- Office with lake view
Parking & Commuter Benefits
- Office near Prilly-Malley train station
Healthcare & Fitness
- Fitness centre access
Public Transport Subsidies
- Public transport travel card reimbursement
Learning & Development
- French classes reimbursement
Snacks & Drinks
- Free fruit, cookies, and soft drinks
Team Events
- Company and team events
Bonuses & Incentives
- Referral bonuses
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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