
Expert Machine Learning Engineer
3 days ago
Job Summary: As a seasoned machine learning engineer, you will be responsible for overseeing the entire machine learning lifecycle.
About the Role: In this role, you will design and implement monitoring and logging systems using Prometheus and Grafana. You will also develop experiment tracking and workflow orchestration pipelines using MLflow, Kubeflow, and Weights & Biases.
Responsibilities:
- Monitoring and Logging Systems: Design and implement monitoring and logging systems to track key performance indicators (KPIs) and system metrics.
- Experiment Tracking and Workflow Orchestration: Develop and maintain experiment tracking and workflow orchestration pipelines to ensure seamless collaboration among team members.
- Machine Learning Frameworks: Stay up-to-date with the latest advancements in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Requirements:
- Technical Skills: Proficiency in Python, experience with Prometheus, Grafana, MLflow, Kubeflow, and Weights & Biases.
- Soft Skills: Excellent problem-solving skills, attention to detail, and ability to work independently.
What We Offer:
- Opportunities for Growth: Opportunities for growth and professional development in a rapidly evolving field.
- Collaborative Environment: Collaborative environment with experienced professionals who are passionate about machine learning.
- Competitive Compensation: Competitive compensation package that reflects your value to the organization.
How to Apply: If you are a detail-oriented individual with excellent problem-solving skills and a passion for machine learning, we encourage you to apply.
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