
Machine Learning Systems Specialist
4 days ago
Job Title: Machine Learning Systems Specialist
We are seeking an experienced professional to lead the development and deployment of Machine Learning pipelines. The ideal candidate will have a strong background in software engineering, data science, and cloud computing.
The key responsibilities of this role include:
- Pipeline Development: Design, develop, and maintain scalable Machine Learning pipelines using TensorFlow, PyTorch, and Scikit-learn.
- Monitoring and Logging: Implement monitoring and logging tools such as Prometheus and Grafana for real-time insights into pipeline performance.
- Experiment Tracking and Workflow Orchestration: Utilize MLflow and Kubeflow for experiment tracking and workflow orchestration.
- Cross-Functional Collaboration: Collaborate with cross-functional teams to deploy and scale Machine Learning models in production environments.
Requirements:
- 7+ Years of Experience: 7+ years of experience in ML Engineering or a related field.
- Python Proficiency: Strong proficiency in Python programming language and relevant libraries.
- Cloud Computing: Knowledge of Cloud-based services such as AWS or GCP.
Benefits:
This is an excellent opportunity to work with cutting-edge technologies and contribute to the development of innovative Machine Learning solutions.
About the Role:
This role requires a unique blend of technical expertise, business acumen, and communication skills. The successful candidate will be able to communicate complex technical concepts to both technical and non-technical stakeholders.
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