Advanced Machine Learning Specialist
4 days ago
We are seeking a highly skilled MLOps Engineer to join our organization. This is an exciting opportunity for individuals who have a passion for machine learning and want to work on complex projects that will make a significant impact.
This role involves collaborating with cross-functional teams to design, develop, and deploy machine learning models. You will be responsible for developing and maintaining monitoring and logging systems to ensure the stability of the infrastructure.
You will implement experiment tracking and workflow orchestration using tools like MLflow, Kubeflow, and Weights & Biases. Additionally, you will stay up-to-date with the latest developments in machine learning frameworks, such as TensorFlow, PyTorch, and Scikit-learn.
Key Responsibilities:- Collaborate with cross-functional teams to design, develop, and deploy machine learning models.
- Develop and maintain monitoring and logging systems to ensure the stability of the infrastructure.
- Implement experiment tracking and workflow orchestration using tools like MLflow, Kubeflow, and Weights & Biases.
- Stay up-to-date with the latest developments in machine learning frameworks, such as TensorFlow, PyTorch, and Scikit-learn.
- 7+ years of experience in machine learning engineering.
- Strong knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Scikit-learn.
- Experience with monitoring and logging tools, such as Prometheus and Grafana.
- Familiarity with experiment tracking and workflow orchestration tools, including MLflow, Kubeflow, and Weights & Biases.
- Strong understanding of machine learning concepts and algorithms.
- Excellent problem-solving skills and attention to detail.
The successful candidate will be a self-motivated individual with excellent communication and collaboration skills. They will be able to work independently and as part of a team to deliver high-quality results.
If you are passionate about machine learning and want to be part of a dynamic team, we encourage you to apply now.
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