Machine Learning Engineer
Tasks
- Define AI ML strategy architecture and implementation
- Deploy models to production systems
- Design and deploy scalable AI/ML models
- Develop predictive analytics and decision support systems
- Ensure data governance compliance
- Implement model validation explainability and bias mitigation
- Integrate AI solutions into secure enterprise environments
- Manage data engineering pipelines and MLOps lifecycle
- Provide technical leadership and mentor engineers
Perks/Benefits
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | Bias Mitigation | CCPA | Data Engineering | Data Governance | Data Privacy | Deep learning | ETL | Explainable AI | Feature Engineering | GDPR | Hyperparameter Tuning | LLMs | Langchain | MLOps | MLflow | Machine Learning | Model Deployment | Model Evaluation | PyTorch | Python | R | RAG | Scikit-learn | TensorFlow | Transformers | Vector Databases
Education
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