AI/ML Engineer
INR 3000K-5572K (estimate) Senior-level Full Time
Tasks
- Build production grade ML pipelines
- Collaborate with teams to translate business requirements into architectures
- Conduct drift analysis and model health monitoring
- Create architecture diagrams and technical specifications
- Deploy models and enable continuous monitoring
- Design scalable multi cloud ML infrastructure
- Integrate real-time and batch data pipelines
- Lead design development implementation scalable AI ML solutions
- Mentor data scientists and ML engineers
- Oversee end-to-end ML workflows
- Perform feature engineering EDA and model evaluation
- Select optimize and tune models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Azure Synapse | Azure Synapse Analytics | BigQuery | Cloud platform | Data Processing | Databricks | Dataflow | Distributed data | Distributed data processing | EventHub | Feature Store | Google Cloud | Google Cloud Platform | Hadoop | Kafka | MLflow | NumPy | ONNX | Pandas | PubSub | PySpark | PyTorch | Python | SQL | Scikit-learn | Synapse Analytics | TensorFlow | Vector Database
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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