Machine Learning Engineer - 3
Tasks
- Build ML pipelines for real time and batch workloads
- Create model testing validation and automated QA pipelines
- Design and operate scalable ML models in production
- Develop CI/CD and orchestration workflows
- Develop classifiers and predictive models
- Ensure ML governance security and compliance
- Implement model lifecycle management versioning deployment and rollback
- Monitor models for drift and performance degradation
- Optimize model performance and reliability
- Refactor containerize and deploy ML models
- Run A B testing for model evaluation
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AIOps | AWS SageMaker | Airflow | Apache Spark | Argo Workflows | Azure Machine Learning | B testing | CircleCI | CloudFormation | CloudWatch | Contextual Bandits | Datadog | Docker | ELK | Git | GitHub Actions | GitLab CI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Grafana | Hive | Java | Keras | Kubeflow | Kubernetes | Language Processing | MLOps | MLflow | Machine Learning | Multivariate optimization | Natural Language | Natural Language Processing | Prometheus | PyTorch | Python | Reinforcement Learning | SQL | Scala | Scikit-learn | TensorFlow | Terraform | Vertex AI
Education
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