Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Calibrate evaluation with SMEs
- Create prompt design and human in the loop flows
- Design multi agent system
- Drive solution architecture
- Identify follow-on opportunities
- Implement retrieval strategy
- Lead evaluation program
- Manage PoC delivery plan
- Own client relationship
- Prepare executive level decision material
- Run alignment workshops
- Run golden question benchmark
- Translate stakeholder feedback into backlog items
Perks/Benefits
- Corporate events
- Flexible working hours
- Holiday (5 weeks)
- Home office option
- Hybrid/remote working options
- Internal training workshops and seminars
- International conference participation
- Loyalty bonus
- Meal allowance
- Multisport card
- Paid certifications
- Referral bonus programme
- Sick days 5
- Soft-skills training
- Technical training
Skills/Tech-stack
Agent systems | Artificial Intelligence | Benchmarking | Evaluation Frameworks | Human-in-the-loop | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | PGVector | Prompt engineering | Retrieval-Augmented Generation | The Loop | Vector Databases
Education
N/A
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