AI / ML Engineer
Bengaluru, BDC7C, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect inference APIs and batch processing
- Deploy machine learning models to production
- Design and implement MLOps frameworks
- Ensure security and regulatory compliance for ML deployments
- Evaluate and improve engineering processes
- Integrate generative AI models
- Lead migration of analytics to data platforms
- Mentor engineers and set coding standards
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Automated retraining | Azure Machine Learning | Batch Processing | Data Preprocessing | Data masking | Distributed Computing | Feature Engineering | Feature Store | Generative AI | Inference APIs | Kubeflow | MLOps | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure Machine Learning | Model Registry | PII protection | PySpark | PyTorch | TensorFlow
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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