Junior AI/ML Engineer
Tasks
- Apply classical machine learning algorithms
- Build AI solutions from scratch
- Build and integrate vector databases
- Create LLM prompt engineering pipelines
- Design RAG architectures
- Develop AI automation workflows
- Implement MLOps practices
- Implement embeddings and vector search
- Monitor logs and observability
- Set up AI infrastructure
- Set up CI CD and containerized deployments
Perks/Benefits
- AI workation
- Conference attendance
- Mentoring
- Paid time off
- Remote work options
- Sabbatical leave
- Sports allowance
- Training budget
- Unlimited sick leave
- Wellness club
- Wellness support
Skills/Tech-stack
API | CI/CD | Clustering | Decision Trees | Docker | Embeddings | JavaScript | LLM | Langchain | Llamaindex | Logging | MLOps | N8n | Observability | Prompt engineering | PydanticAI | Python | RAG | Regression | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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