AI Engineer
HUF 10627K-17818K (estimate) Senior-level Full Time
Tasks
- Automate business processes
- Build AI agents
- Build data pipelines
- Define success metrics and track impact
- Deploy and monitor AI systems
- Design production inference setups
- Identify high value AI opportunities
- Iterate on model and system performance
- Lead AI lifecycle with MLOps and LLMOps
- Train and evaluate models
Perks/Benefits
- Bike storage
- Canteen meals
- Charity events
- Flexible working hours
- Free Coffee & Tea
- Hybrid work
- Learning and personal development
- Onsite canteen
- Recognition platform
- Volunteering days
- Wellbeing services
- Work-life balance
Skills/Tech-stack
Agentic AI | Azure | Data Pipelines | Generative AI | Inference | LLMOps | Langgraph | MLOps | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | OpenAI Agents | Pandas | Python | SQL | Scikit-learn
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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