Senior AI/ML Engineer
Tasks
- Architect end-to-end AI systems
- Collaborate with cross-functional engineering teams
- Define RAG frameworks
- Deploy AI systems for large scale physical implementation
- Develop multimodal AI reasoning
- Evaluate and benchmark AI architectures
- Lead AI technical architecture and performance optimization
- Select and customize AI models
Perks/Benefits
- Agile sessions
- All office benefits
- Annual leave
- Buddy system
- Coffee allowance
- Company trip
- Employee clubs
- Health insurance
- Mac or PC provided
- Modern office
- Private English classes
- Professional coaching
- Sick leave
- Social insurance
- Tech talks
- Training budget
- Unlimited snacks
- Yearly Health Check
Skills/Tech-stack
AWS | CI/CD | Cloud platform | Computer Vision | Google Cloud | Google Cloud Platform | Language Models | Language Processing | Large Language Models | Machine Learning | Microsoft Azure | Multimodal AI | Natural Language | Natural Language Processing | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow
Education
N/A
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