Machine Learning Engineer
Tasks
- Build scalable AI products
- Conduct experiments and analyze results
- Design and deploy machine learning models
- Develop Agentic AI capabilities
- Develop end to end model pipelines
- Document methodologies experiments and results
- Implement anomaly detection and time series forecasting
- Integrate models and agents into cloud production
- Perform data exploration and feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Agentic AI | Anomaly Detection | Azure | Cloud platform | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | MLOps | Orchestration | Prompt engineering | PyTorch | Python | SQL | Series forecasting | TensorFlow | Time Series | Time Series Forecasting
Education
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