AI Architect (Data Science)
Hyderabad, TS, India
INR 2000K-4500K (estimate) Senior-level Full Time
Tasks
- Adopt experiment tracking and versioning
- Build large-scale data pipelines
- Define AI roadmap
- Drive model fine tuning for client datasets
- Ensure experimental design and evaluation rigor
- Establish MLOps production standards
- Implement model deployment monitoring and drift detection
- Implement model governance and responsible AI
- Lead custom transformer model design
- Lead technical discovery with clients
- Manage containers and orchestration
- Mentor and manage AI ML engineers
- Oversee end to end data science workflows
- Own AI model development lifecycle
- Partner with cross functional leaders to prioritize initiatives
- Present AI strategy and results to executives
- Set up CI CD for ML
- Support RFP responses
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Apache Spark | Attention Mechanisms | Azure Machine Learning | B testing | BERT | BigQuery | CI/CD | Causal Inference | DVC | Databricks | Deep learning | Docker | Drift Detection | Explainable AI | Feature Engineering | Flink | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | HuggingFace Transformers | Kafka | Kafka Streams | Kubernetes | Learning Governance | LightGBM | MLOps | MLflow | Machine Learning | Machine Learning Governance | Model Drift | Model Drift Detection | Model Monitoring | Positional encoding | PyTorch | Responsible AI | SQL | Scikit-learn | Snowflake | T5 | TensorFlow | Tokenization | Transformer Models | Vertex AI | Weights and Biases | XGBoost
Education
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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