Senior AI/ML Engineer
Tasks
- Build AI ML orchestration infrastructure for batch and real time pipelines
- Collaborate with scientists and engineers on model accessibility for end users
- Design AI ML pipelines using MLOps LLMOps AgentOps
- Design develop deploy and maintain scalable AI ML systems
- Ensure quality and efficiency of ML and data pipelines
- Leverage data to solve business problems
- Run large scale experiments and tests
Perks/Benefits
- Dental benefits
- Flexible working hours
- Learning and development
- Life and accident insurance
- Meal and transportation vouchers
- Mental health support
- Paid community service day
- Paid moving day
- Paid personal day
- Paid volunteer day
- Private health insurance
- Wellness allowance
Skills/Tech-stack
AgentOps | Agile methodologies | Azure Bicep | Azure Cloud | Azure Cloud Storage | Azure Foundry | Azure Machine Learning | Cloud Storage | Code Reviews | Container Orchestration | Databricks | Deep learning | Docker | LLMOps | Langchain | MLOps | MLflow | Machine Learning | Model Monitoring | NoSQL | Python | REST APIs | Relational databases | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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