Senior ML/AI Engineer
Tasks
- Build production machine learning models
- Deploy machine learning models
- Design features for ML pipelines
- Develop NLP computer vision or time series solutions
- Implement CI/CD testing and version control
- Implement MLOps workflows
- Integrate AI solutions end to end
- Monitor model performance
- Operate AI services on Azure and Databricks
- Optimize model cost and efficiency
Perks/Benefits
Skills/Tech-stack
AI Services | Agentic Systems | Anomaly Detection | Apache Spark | Azure | Azure AI | Azure AI Services | Azure Databricks | CI/CD | Computer Vision | Data Streaming | Databricks | Event Driven | Event-driven architecture | MLflow | MLlib | Microsoft Foundry | NLP | PySpark | PyTorch | Python | RAG | RPA | Scikit-learn | TensorFlow | Testing | Time Series | Version control
Education
N/A
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