Mid AI & ML Engineer
Tasks
- Build agentic AI systems
- Build machine learning pipelines
- Create LLM-based solutions
- Develop machine learning models
- Ensure code quality, scalability, and maintainability
- Evaluate and detect model drift
- Implement AI solutions in Azure
- Implement forecasting models
- Integrate ML components into microservices
- Monitor model performance
- Orchestrate ML workflows with Apache Airflow
- Use Docker and Kubernetes
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Apache Airflow | Azure | CI/CD | Databricks | DevOps | Docker | Drift Detection | Forecasting | Kubernetes | Language Models | Large Language Models | Machine Learning | Microservices | Model Drift | Model Drift Detection | Model Monitoring | Object-Oriented | Object-oriented programming | Prompt engineering | Python | Time Series
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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