Machine Learning & AI Engineer
Praha 1, Hlavní město Praha, Czechia
CZK 688K-912K (estimate) Mid-level Full Time
Tasks
- Advise on RAG architectures
- Advise on prompt engineering
- Build data and AI pipelines
- Coach and mentor junior consultants
- Collaborate with data engineers
- Collaborate with software developers
- Conduct data architecture workshops
- Conduct machine learning workshops
- Create implementation roadmaps
- Create solution architecture documents
- Create technical design documents
- Deliver production-ready solutions
- Deploy and monitor models
- Design solution architectures
- Develop reusable architecture assets
- Implement LLMOps practices
- Implement MLOps practices
- Industrialise AI use cases
- Lead customer engagements
- Manage ML lifecycle
- Set up CI/CD pipelines
- Support foundation model adoption
- Support pre-sales proposals
Perks/Benefits
- Certification support
- Continuous learning
- Professional development opportunities
- Supportive team culture
Skills/Tech-stack
APIs | CI/CD | Cloud platform | Computer Vision | DBT | Dataform | Deployment | Docker | Gemini | Generative AI | Google Cloud | Google Cloud Platform | Hadoop | Hive | LLM integration | LLMOps | Langchain | Langgraph | Language Processing | MLOps | Machine Learning | Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | R | RAG | Spark | TensorFlow | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Cloud Data Engineer | Cloud) | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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