AI/ML Engineer
Primary location: Hyderabad, India
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Build production grade ML pipelines
- Collaborate on architecture patterns
- Conduct model health observability
- Create architecture diagrams and documentation
- Deploy ML models
- Design multi cloud ML infrastructure
- Develop and evaluate ML models
- Implement vector database solutions
- Integrate batch and real-time data pipelines
- Lead AI/ML solution design and implementation
- Mentor data scientists and ML engineers
- Monitor model performance and drift
- Orchestrate ML experiments with MLflow
- Oversee end-to-end ML workflows
- Perform feature engineering and EDA
- Select and optimize model architectures
- Track experiments and manage feature stores
- Use ONNX for model interoperability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | BigQuery | Databricks | Dataflow | Drift analysis | EventHub | Feature Store | GCP | Hadoop | Kafka | MLflow | NumPy | ONNX | Observability | Pandas | PubSub | PySpark | PyTorch | Python | SQL | Scikit-learn | Synapse | TensorFlow | Vector Database
Education
Roles
AI | AI/ML Engineer | Data Scientist | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer | Scientist
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