Senior Software Engineer - AIML
Tasks
- Architect ML RL platforms
- Build training and evaluation pipelines
- Conduct technical reviews and improve code quality
- Deploy and serve machine learning models
- Ensure reproducible experimentation
- Establish data quality and governance
- Implement model monitoring and incident response
- Mentor engineers and data scientists
- Optimize production workflows for performance latency scalability security
- Translate business goals into model objectives
Perks/Benefits
Skills/Tech-stack
AWS | AWS Lambda | Agent-based | Agent-based modeling | Alerting | Automated retraining | Azure | Azure Functions | CI/CD | Cloud platform | Discrete Event Simulation | Discrete event | Docker | Drift Detection | Event Driven | Event simulation) | Event-driven architecture | Experiment tracking | Google Cloud | Google Cloud Platform | Governance | Java | Knative | Kubernetes | MLOps | Machine Learning | Model Monitoring | Model versioning | NumPy | Observability | Pandas | PyTorch | Python | Queueing Theory | Reinforcement Learning | Scikit-learn | Serverless | Spring Boot | Stochastic Modeling | TensorFlow
Education
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