Machine Learning Engineer
Tasks
- Build and improve LLM based conversational AI systems
- Deploy and version machine learning models
- Develop multi agent pipelines and RAG architectures
- Explore new AI tools and technologies
- Gather requirements and analyze data
- Implement end to end MLOps pipelines for LLM applications
- Integrate machine learning components into production systems
- Maintain machine learning infrastructure on cloud
- Monitor model performance and retrain models
- Set up CI CD for machine learning workflows
Perks/Benefits
- Annual leave
- Company gym access
- Continuous learning
- Flexible working hours
- Free parking
- Hybrid work model
- Private health insurance
- Snacks and drinks at office
Skills/Tech-stack
API Development | AWS | Azure | CI/CD | Cloud | Databricks | Docker | Embeddings | GCP | LLMs | Langchain | Langgraph | MLOps | Machine Learning | Microsoft Foundry | Model Monitoring | PostgreSQL | Prompt engineering | Python | RAG | Relational databases | Vector Databases
Education
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