AI ML Engineer
INR 3000K-5500K (estimate) Senior-level Full Time
Tasks
- Build production grade ML pipelines
- Collaborate with engineering product data science and UX
- Conduct drift analysis and observability
- Create architecture diagrams and technical specifications
- Design and develop scalable AI/ML solutions
- Design multi cloud ML infrastructure
- Evaluate models and deploy models
- Integrate real-time and batch data pipelines
- Monitor model performance and drift
- Orchestrate ML workflows and track experiments
- Oversee end-to-end ML workflows
- Perform feature engineering and EDA
- Select optimize tune ML models
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Azure | BigQuery | Cloud platform | Data Analysis | Data Bricks | Dataflow | Docker | Drift Detection | Exploratory Data Analysis | Feature Engineering | Feature Store | Google Cloud | Google Cloud Platform | Kafka | Kubernetes | MLflow | Model Deployment | Model Explainability | Model Monitoring | Multi-cloud | NumPy | ONNX | Pandas | PyTorch | Python | Responsible AI | SQL | Scikit-learn | Synapse | TensorFlow | Vector Database | Web Services
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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