AI / ML Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Automate retraining
- Build MLOps frameworks
- Build batch processing systems
- Collaborate with cross-functional teams
- Deploy machine learning models
- Design production ready application pipelines
- Develop inference APIs
- Enable auditability
- Ensure ML security and compliance
- Facilitate knowledge sharing
- Implement feature store
- Implement model registry
- Integrate generative AI models
- Lead team decisions
- Mentor engineers
- Migrate legacy analytics
- Protect PII
- Set coding standards
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Azure Machine Learning | Batch Processing | Chatbots | Data Preprocessing | Data masking | Distributed Computing | Feature Engineering | Generative AI | Image Processing | Kubeflow | MLOps | MLflow | Machine Learning | Microsoft Azure | Microsoft Azure Machine Learning | Neural Networks | PII protection | PySpark | PyTorch | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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