Senior AI/ML Engineer
Tasks
- Build AI ML engineering infrastructure for batch and real time pipelines
- Coordinate with data scientists to deploy models for end users
- Design AI ML pipelines with AgentOps
- Design AI ML pipelines with LLMOps
- Design AI ML pipelines with MLOps
- Design develop deploy and maintain AI ML systems
- Leverage data to solve business problems
- Run large scale experiments and tests for ML quality
Perks/Benefits
- Dental benefits
- Flexible working hours
- Hybrid monthly allowance for electricity and Internet
- Learning and development
- Life and accident insurance
- Meals and transportation vouchers
- Mental health support
- Paid employee volunteer day
- Paid moving day
- Paid time off
- Private health insurance
- Wellness allowance
Skills/Tech-stack
AgentOps | Artificial Intelligence | Azure | Azure Foundry | Azure ML | Batch Processing | Databricks | LLMOps | MLOps | MLflow | Machine Learning | Python | Real Time | Real-time Processing | SQL | Time processing
Education
N/A
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