
ML Engineering Specialist
3 days ago
The role of an ML Engineering Specialist is to oversee the successful operation of machine learning models in production environments.
- Develop and maintain monitoring systems using tools like Prometheus to track model performance.
- Implement experiment tracking and workflow orchestration using Kubeflow, Weights & Biases, and MLOps frameworks.
- Work with popular machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn to deploy and manage models in production.
Key skills required for this position include expertise in MLOps, Kubeflow, Prometheus, PyTorch, Scikit-learn, Machine Learning, and Weights & Biases.
This role involves collaborating with data scientists and engineers to ensure seamless integration of machine learning models into business operations.
Effective communication and problem-solving skills are essential for success in this position.
Candidates should have a strong foundation in software engineering and experience working with cloud-based platforms.
A bachelor's degree in Computer Science or a related field is required, along with relevant industry experience.
We are seeking a highly motivated and detail-oriented individual who can contribute to our team's success.
Professional development opportunities will be available for the right candidate.
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