Senior Artificial Intelligence/Machine Learning Engineer
Tasks
- Build validation gates
- Calibrate pass fail thresholds with SMEs
- Conduct blind idea quality reviews
- Define human in the loop flows
- Design multi agent system architecture
- Identify follow on opportunity roadmap
- Implement retrieval strategy
- Lead client engagement end-to-end
- Manage PoC delivery milestones
- Prepare executive decision materials
- Run alignment workshops
- Run golden question benchmark evaluation
- Steer project expectations
- Translate stakeholder feedback into backlog items
Perks/Benefits
- Corporate events
- Flexible working hours
- Home office option
- Hybrid remote work
- Internal trainings
- International conference opportunity
- Meal allowance
- Multisport card
- Paid Holidays
- Paid certifications
- Referral bonus
- Sick days
Skills/Tech-stack
Agent systems | Artificial Intelligence | Benchmarking | Evaluation | Human-in-the-loop | LLM | Machine Learning | Multi-Agent | Multi-Agent Systems | PGVector | PostgreSQL | Prompt engineering | Retrieval-Augmented Generation | The Loop | Vector Database
Education
N/A
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