The AI Job Search Engine
AI & ML Engineer(m/w/x)
Description
You will shape the future of digital employee experiences by developing scalable Agentic systems and managing MLOps, while mentoring junior talent within the company's AI team.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Computer Science or related field
- •Experience in LLM-powered production applications
- •Proficiency in Python and AI frameworks
- •Experience with AWS and cloud AI deployments
- •Understanding of AI model fine-tuning
- •Problem-solving skills and collaborative mindset
- •Eagerness to learn and adapt
- •Strong communication skills in English
- •Knowledge of RAG and multi-agent architectures
- •Strong data intuition and metric design
- •Hands-on experience with MLOps pipelines
- •Familiarity with MLOps best practices
Education
Tasks
- •Design and implement AI-powered products
- •Develop scalable Agentic systems
- •Create evaluations and success metrics
- •Utilize cutting-edge AI platforms
- •Implement and manage MLOps practices
- •Monitor and maintain production models
- •Align AI capabilities with business needs
- •Collaborate with engineers and product teams
- •Mentor and support junior AI engineers
- •Foster a culture of knowledge sharing
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive compensation package
Modern Office
- •Office with lake view
Flexible Working
- •Hybrid work model
- •Flexible hours
More Vacation Days
- •Unlimited paid time off
Social Impact
- •3 company-paid volunteer days
Healthcare & Fitness
- •Free fitness centre access
Public Transport Subsidies
- •Half-fare travel card reimbursement
Additional Allowances
- •50% French class reimbursement
Snacks & Drinks
- •Fresh fruit and snacks
Team Events
- •Regular company and team events
Bonuses & Incentives
- •Employee referral bonuses
Other Benefits
- •Relocation package
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AI & ML Engineer(m/w/x)
The AI Job Search Engine
Description
You will shape the future of digital employee experiences by developing scalable Agentic systems and managing MLOps, while mentoring junior talent within the company's AI team.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
Requirements
- •Degree in Computer Science or related field
- •Experience in LLM-powered production applications
- •Proficiency in Python and AI frameworks
- •Experience with AWS and cloud AI deployments
- •Understanding of AI model fine-tuning
- •Problem-solving skills and collaborative mindset
- •Eagerness to learn and adapt
- •Strong communication skills in English
- •Knowledge of RAG and multi-agent architectures
- •Strong data intuition and metric design
- •Hands-on experience with MLOps pipelines
- •Familiarity with MLOps best practices
Education
Tasks
- •Design and implement AI-powered products
- •Develop scalable Agentic systems
- •Create evaluations and success metrics
- •Utilize cutting-edge AI platforms
- •Implement and manage MLOps practices
- •Monitor and maintain production models
- •Align AI capabilities with business needs
- •Collaborate with engineers and product teams
- •Mentor and support junior AI engineers
- •Foster a culture of knowledge sharing
Tools & Technologies
Languages
English – Business Fluent
Benefits
Competitive Pay
- •Competitive compensation package
Modern Office
- •Office with lake view
Flexible Working
- •Hybrid work model
- •Flexible hours
More Vacation Days
- •Unlimited paid time off
Social Impact
- •3 company-paid volunteer days
Healthcare & Fitness
- •Free fitness centre access
Public Transport Subsidies
- •Half-fare travel card reimbursement
Additional Allowances
- •50% French class reimbursement
Snacks & Drinks
- •Fresh fruit and snacks
Team Events
- •Regular company and team events
Bonuses & Incentives
- •Employee referral bonuses
Other Benefits
- •Relocation package
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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